Triple
T12760930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office Group A |
E304991
|
entity |
| Predicate | operatedBy |
P86
|
FINISHED |
| Object |
SS
SS is a German multinational conglomerate known for its diverse portfolio of industrial, engineering, and technology-related businesses.
|
E1001852
|
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: SS | Statement: [Office Group A, operatedBy, SS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SS Context triple: [Office Group A, operatedBy, SS]
-
A.
SS
SS is the IATA airline designator used to identify Corsair International flights in global aviation systems.
-
B.
SS
SS is the UK postcode area covering Southend-on-Sea and surrounding parts of Essex in eastern England.
-
C.
SS
SS is the two-letter ISO 3166-1 alpha-2 country code assigned to South Sudan.
-
D.
SS
SS is a post-nominal abbreviation used by recipients of the U.S. military’s Silver Star Medal, one of the nation’s highest awards for valor in combat.
-
E.
SS
The SS was a paramilitary organization of Nazi Germany that became one of the principal instruments of terror, repression, and mass murder, including the systematic genocide of Jews and other targeted groups during World War II.
- 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: SS Triple: [Office Group A, operatedBy, SS]
Generated description
SS is a German multinational conglomerate known for its diverse portfolio of industrial, engineering, and technology-related businesses.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SS Target entity description: SS is a German multinational conglomerate known for its diverse portfolio of industrial, engineering, and technology-related businesses.
-
A.
SS
The SS was a paramilitary organization of Nazi Germany that became one of the principal instruments of terror, repression, and mass murder, including the systematic genocide of Jews and other targeted groups during World War II.
-
B.
SS
SS (Sareen Sports) is a well-known Indian cricket equipment manufacturer recognized for its bats and other professional-grade gear used by many international players.
-
C.
SS
The SS is a high-performance "Super Sport" trim level of the Chevrolet Camaro, featuring more powerful engines and sport-tuned components compared to standard models.
-
D.
SS
SS is the UK postcode area covering Southend-on-Sea and surrounding parts of Essex in eastern England.
-
E.
SS
SS is the IATA airline designator used to identify Corsair International flights in global aviation systems.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d8e44188190840cd23d380bf23d |
completed | April 10, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684f08fac8190b8c480619696bcd1 |
completed | May 2, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_69f6863fada48190afe2ff7896a60094 |
completed | May 2, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f686bcac94819088782273effbb06a |
completed | May 2, 2026, 11:20 p.m. |
Created at: April 9, 2026, 5:28 p.m.