Triple
T213372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egyptian Armed Forces |
E4763
|
entity |
| Predicate | hasSpecialForcesUnit |
P1198
|
FINISHED |
| Object |
Unit 999
Unit 999 is an elite Egyptian special forces unit known for conducting high-risk counterterrorism, reconnaissance, and unconventional warfare operations.
|
E27517
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Unit 999 | Statement: [Egyptian Armed Forces, hasSpecialForcesUnit, Unit 999]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Unit 999 Context triple: [Egyptian Armed Forces, hasSpecialForcesUnit, Unit 999]
-
A.
Unit 777
Unit 777 is an elite Egyptian special forces counter-terrorism unit known for high-risk hostage rescue and anti-terror operations.
-
B.
K-9 Unit
The K-9 Unit is a specialized police division that uses trained dogs to assist officers in tasks such as tracking suspects, detecting drugs or explosives, and conducting search and rescue operations.
-
C.
Kvartal 95 Studio
Kvartal 95 Studio is a Ukrainian television production and entertainment company best known for its comedy shows and satirical content, including the series "Servant of the People."
-
D.
SETE
SETE is the company responsible for operating and managing the Eiffel Tower in Paris.
-
E.
UPP
UPP is a reporting mark used by the Union Pacific Railroad to identify certain passenger cars and related rolling stock in its fleet.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Unit 999 Triple: [Egyptian Armed Forces, hasSpecialForcesUnit, Unit 999]
Generated description
Unit 999 is an elite Egyptian special forces unit known for conducting high-risk counterterrorism, reconnaissance, and unconventional warfare operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Unit 999 Target entity description: Unit 999 is an elite Egyptian special forces unit known for conducting high-risk counterterrorism, reconnaissance, and unconventional warfare operations.
-
A.
Unit 777
Unit 777 is an elite Egyptian special forces counter-terrorism unit known for high-risk hostage rescue and anti-terror operations.
-
B.
K-9 Unit
The K-9 Unit is a specialized police division that uses trained dogs to assist officers in tasks such as tracking suspects, detecting drugs or explosives, and conducting search and rescue operations.
-
C.
Kvartal 95 Studio
Kvartal 95 Studio is a Ukrainian television production and entertainment company best known for its comedy shows and satirical content, including the series "Servant of the People."
-
D.
SETE
SETE is the company responsible for operating and managing the Eiffel Tower in Paris.
-
E.
UPP
UPP is a reporting mark used by the Union Pacific Railroad to identify certain passenger cars and related rolling stock in its fleet.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a2575cb1dc8190a01ad332426dc339 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a260c3037c8190ba7ddf328f249b74 |
completed | Feb. 28, 2026, 3:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a33e3f66888190a05ddcb0af4d3c5f |
completed | Feb. 28, 2026, 7:13 p.m. |
| NEDg | Description generation | batch_69a33ee88af08190bfe81fba01856829 |
completed | Feb. 28, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a34295afa88190aae0d75a337967e3 |
completed | Feb. 28, 2026, 7:31 p.m. |
Created at: Feb. 28, 2026, 2:52 a.m.