Triple
T1893956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supreme Commander, South West Pacific Area |
E41934
|
entity |
| Predicate | rankHeldBy |
P7155
|
FINISHED |
| Object | General |
—
|
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: General | Statement: [Supreme Commander, South West Pacific Area, rankHeldBy, General]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankHeldBy Context triple: [Supreme Commander, South West Pacific Area, rankHeldBy, General]
-
A.
rankHeldByPost
chosen
Indicates that a particular organizational post or position is associated with, or carries, a specific rank.
-
B.
rankHeldByOfficeholder
Indicates the specific rank or level associated with an office or position that is held by a particular officeholder.
-
C.
highestRankIn
Indicates that one entity holds the top or most senior rank within a specified group, category, or context relative to other entities.
-
D.
typicallyHoldsRank
Indicates that an entity is most commonly or usually associated with holding a particular rank or level in a hierarchy.
-
E.
positionHeld
Indicates that an entity occupies or has occupied a specific role, job, office, or position within an organization or 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_69a8864b6de0819098d089f6a1b910a7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb1497df08190ad90dd89f76208ca |
completed | March 7, 2026, 5:02 a.m. |
| PD | Predicate disambiguation | batch_69abafe7e7e88190b58c0df59187c0c2 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:34 p.m.