Triple
T29488771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Survivor: Cambodia |
E748009
|
entity |
| Predicate | preJuryReturneesCount |
P166965
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [Survivor: Cambodia, preJuryReturneesCount, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preJuryReturneesCount Context triple: [Survivor: Cambodia, preJuryReturneesCount, 10]
-
A.
hasNumberOfJurors
Indicates the relationship specifying how many jurors are associated with a given legal case, trial, or proceeding.
-
B.
jurorNumber
Indicates the specific numerical identifier assigned to a juror within a jury.
-
C.
hasJurors
Indicates that one entity serves as or includes jurors in relation to another entity, typically in the context of a legal case or proceeding.
-
D.
hasJuror
Indicates that a person or legal body is assigned or associated with a specific juror in a judicial context.
-
E.
hasSubJuries
Indicates that an entity (typically a main jury or committee) is composed of or associated with one or more subordinate juries.
- 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_69f0bd43ba30819095eb1cfc3adf525c |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66c08d734819088f227ef5b054acb |
completed | May 2, 2026, 9:26 p.m. |
| PD | Predicate disambiguation | batch_69f6633ac8a88190ab0cda62bbfcf9b0 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f6642e676c8190af0e6b1416eed6d2 |
completed | May 2, 2026, 8:53 p.m. |
Created at: April 28, 2026, 4:11 p.m.