Triple
T1765800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General |
E38759
|
entity |
| Predicate | canHoldPosition |
P8
|
FINISHED |
| Object | Chief of Staff of an army |
—
|
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: Chief of Staff of an army | Statement: [General, canHoldPosition, Chief of Staff of an army]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canHoldPosition Context triple: [General, canHoldPosition, Chief of Staff of an army]
-
A.
canHold
Indicates that one entity has the capacity or ability to contain, support, or carry another entity.
-
B.
positionHeld
chosen
Indicates that an entity occupies or has occupied a specific role, job, office, or position within an organization or context.
-
C.
hasPositionOn
Indicates that one entity occupies or holds a specific role, job, or spatial location relative to another entity.
-
D.
mayHold
Indicates that one entity is permitted or allowed to possess, contain, or maintain another entity.
-
E.
holdsIn
Indicates that a relationship, condition, or event is valid or occurs within a specified time interval or temporal context.
- F. None of above.
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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab39fc2c448190bfaf1ee8d474632a |
completed | March 6, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69aa61cbb1288190a7ba38b61905f578 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.