Triple
T9863520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Ambassador |
E239773
|
entity |
| Predicate | mayAlsoHoldTitle |
P45332
|
FINISHED |
| Object | Permanent Representative |
—
|
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: Permanent Representative | Statement: [United States Ambassador, mayAlsoHoldTitle, Permanent Representative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayAlsoHoldTitle Context triple: [United States Ambassador, mayAlsoHoldTitle, Permanent Representative]
-
A.
mayHold
Indicates that one entity is permitted or allowed to possess, contain, or maintain another entity.
-
B.
heldTitleUntil
Indicates that an entity possessed or held a specific title or position continuously up to a particular end date or point in time.
-
C.
holderMayUseTitle
Indicates that the holder is permitted to use or bear a specified title.
-
D.
mayBeTitled
chosen
Indicates that an entity can optionally bear or be assigned a particular title, but is not required to have it.
-
E.
titleHeldConcurrentlyWith
Indicates that one title or position was held at the same time as another title or position by the same entity.
- 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_69ca84e7506c819095cbde4ff16512bb |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3b927d08190a45ff68de3954e8f |
completed | April 2, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69cd1d7621d48190aa6a6f34399514b0 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:35 p.m.