Triple
T6467037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SEAL Team 6 |
E142256
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
DEVGRU
DEVGRU is an elite, highly classified U.S. Navy SEAL special mission unit renowned for counterterrorism and high-risk operations worldwide.
|
E595102
|
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: DEVGRU | Statement: [SEAL Team 6, shortName, DEVGRU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DEVGRU Context triple: [SEAL Team 6, shortName, DEVGRU]
-
A.
DEVRG
DEVRG is the UN/LOCODE identifier for a specific transport or logistics location within the Vorpommern-Rügen district in Germany.
-
B.
DEV
DEV is the abbreviation for the OECD Development Centre, a policy-oriented institution that conducts research and dialogue to support sustainable economic and social development worldwide.
-
C.
DRAC
DRAC is the French acronym for the Regional Directorates of Cultural Affairs, which are state administrations responsible for implementing national cultural policy at the regional level in France.
-
D.
De
De is the given name of Zhu De, a prominent Chinese Communist military leader and one of the founders of the People’s Liberation Army.
-
E.
DBRAIT
DBRAIT is a technical education institute in Port Blair named after Dr. B. R. Ambedkar, offering engineering and related professional programs.
- 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: DEVGRU Triple: [SEAL Team 6, shortName, DEVGRU]
Generated description
DEVGRU is an elite, highly classified U.S. Navy SEAL special mission unit renowned for counterterrorism and high-risk operations worldwide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DEVGRU Target entity description: DEVGRU is an elite, highly classified U.S. Navy SEAL special mission unit renowned for counterterrorism and high-risk operations worldwide.
-
A.
DEVRG
DEVRG is the UN/LOCODE identifier for a specific transport or logistics location within the Vorpommern-Rügen district in Germany.
-
B.
DEV
DEV is the abbreviation for the OECD Development Centre, a policy-oriented institution that conducts research and dialogue to support sustainable economic and social development worldwide.
-
C.
DRAC
DRAC is the French acronym for the Regional Directorates of Cultural Affairs, which are state administrations responsible for implementing national cultural policy at the regional level in France.
-
D.
De
De is the given name of Zhu De, a prominent Chinese Communist military leader and one of the founders of the People’s Liberation Army.
-
E.
DBRAIT
DBRAIT is a technical education institute in Port Blair named after Dr. B. R. Ambedkar, offering engineering and related professional programs.
- 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_69c008d3bf4c8190bcf798c5ba9d6fb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06a12ccf481908f71f888cd744b64 |
completed | March 22, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bed24b881909ade4e5451153986 |
completed | March 27, 2026, 9:20 a.m. |
| NEDg | Description generation | batch_69c64ca8eb2881909ed9927106b9a356 |
completed | March 27, 2026, 9:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c64d44105c81908ddcdfabc51a75e9 |
completed | March 27, 2026, 9:26 a.m. |
Created at: March 22, 2026, 4:49 p.m.