Triple
T8001045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centurion |
E186248
|
entity |
| Predicate | wasProfessionalSoldier |
P80260
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Centurion, wasProfessionalSoldier, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasProfessionalSoldier Context triple: [Centurion, wasProfessionalSoldier, true]
-
A.
hasSoldier
Indicates that one entity possesses, employs, or is associated with a soldier or group of soldiers.
-
B.
formerMilitaryRole
Indicates that an entity previously held, but no longer holds, a specific military role or position.
-
C.
isMilitaryOfficer
Indicates that the subject holds an official position as an officer within a military organization.
-
D.
militaryRole
Indicates the specific function, position, or duty an entity holds within a military organization or context.
-
E.
soldierCaste
Indicates that an entity belongs to, or is characterized as part of, a soldier or warrior class within a social or organizational hierarchy.
- F. None of above. chosen
Provenance (4 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_69ca82aaaf24819084b94d18f699ba53 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c9cd06081908b62bb41e228c321 |
completed | March 31, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69cb0483d3b48190b250c7603d747bca |
completed | March 30, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69cb14bbbacc81909c6cf8ec35314bbb |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:17 p.m.