Triple
T27247112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xue Hanqin |
E687373
|
entity |
| Predicate | isJudgeOf |
P42992
|
FINISHED |
| Object | International Court of Justice |
—
|
NE NERFINISHED |
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: International Court of Justice | Statement: [Xue Hanqin, isJudgeOf, International Court of Justice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isJudgeOf Context triple: [Xue Hanqin, isJudgeOf, International Court of Justice]
-
A.
hasJudgeFrom
Indicates that an entity has a judge whose origin, affiliation, or source is from a specified place or organization.
-
B.
hasJudge
Indicates that a legal case, proceeding, or decision is presided over or decided by a particular judge.
-
C.
hasPrincipalJudge
Indicates that one entity serves as the main or presiding judge for another entity, such as a court or judicial body.
-
D.
hasJudgesRole
chosen
Indicates that an entity serves in the capacity or role of a judge within a specified context or system.
-
E.
judgesAre
Indicates that one entity serves as a judge or evaluator of another 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_69ef355547408190b5ca0d777c65040a |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f626b2ba8c819090a9eb67cf9cb701 |
completed | May 2, 2026, 4:30 p.m. |
| PD | Predicate disambiguation | batch_69f623a91b9c8190b2e2fdbc55cb89b6 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 10:42 a.m.