Triple
T7116872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Liberty |
E165841
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Fort Bragg |
E43340
|
NE FINISHED |
How this triple was built (2 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: Fort Bragg | Statement: [Fort Liberty, formerName, Fort Bragg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fort Bragg Context triple: [Fort Liberty, formerName, Fort Bragg]
-
A.
Fort Bragg
chosen
Fort Bragg is a major U.S. Army installation in North Carolina known as one of the world’s largest military bases and a central hub for airborne and special operations forces.
-
B.
Fort Bragg
Fort Bragg is a small coastal city in Northern California known for its scenic Pacific shoreline, Glass Beach, and historic lumber industry.
-
C.
Fort Stewart
Fort Stewart is a major U.S. Army installation in southeastern Georgia that serves as a key training and deployment base for armored and mechanized units.
-
D.
Fort Dix
Fort Dix is a major U.S. Army installation in New Jersey that has long served as a key training and mobilization center for American soldiers.
-
E.
Fort Gregg-Adams
Fort Gregg-Adams is a major U.S. Army installation in Virginia that serves as the primary training and doctrine center for logistics, sustainment, and related support specialties.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6888227bc8190a1394679e3116f90 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e617a528819085d4b8e1b5699966 |
completed | March 27, 2026, 8:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79cc2bf2081908e912f26f29394bf |
completed | March 28, 2026, 9:17 a.m. |
Created at: March 27, 2026, 2:43 p.m.