Triple
T6634536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Human |
E150413
|
entity |
| Predicate | numberOfInterviewees |
P1131
|
FINISHED |
| Object | over 2000 |
—
|
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: over 2000 | Statement: [Human, numberOfInterviewees, over 2000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfInterviewees Context triple: [Human, numberOfInterviewees, over 2000]
-
A.
interviewees
Indicates that certain entities are the subjects or participants being questioned or evaluated in an interview process.
-
B.
hasGivenNumberOfInterviewsAbout
Indicates that an entity has conducted or participated in a specified number of interviews concerning another entity or topic.
-
C.
numberOfParticipants
chosen
Indicates the total count of entities involved in a particular event, activity, or relationship.
-
D.
surveyParticipants
Indicates that certain entities take part in or respond to a survey.
-
E.
estimatedInformants
Indicates that one entity has made an approximate or inferred determination of the number or identity of informants associated with another entity or situation.
- 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_69c687f0ceb08190bf40807bfc605fa5 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6c308a08881908501c862b3029321 |
completed | March 27, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c6ad024860819084b9b535b136ede6 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:59 p.m.