Triple
T2165786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Black Political Convention in Gary, Indiana, 1972 |
E46905
|
entity |
| Predicate | hasParticipantCount |
P1131
|
FINISHED |
| Object | approximately 8000 |
—
|
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: approximately 8000 | Statement: [National Black Political Convention in Gary, Indiana, 1972, hasParticipantCount, approximately 8000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParticipantCount Context triple: [National Black Political Convention in Gary, Indiana, 1972, hasParticipantCount, approximately 8000]
-
A.
numberOfParticipants
chosen
Indicates the total count of entities involved in a particular event, activity, or relationship.
-
B.
hasParticipants
Indicates that an event, activity, or situation involves one or more entities as participants in it.
-
C.
hasNumberOfParties
Indicates the total count of distinct parties or participants involved in a given relationship, agreement, or event.
-
D.
hasAudienceSize
Indicates the relationship between an entity and the number of people or size of group that receives, views, or engages with it.
-
E.
hasGlobalParticipation
Indicates that an entity is involved in or contributes to activities, initiatives, or operations that span multiple countries or have worldwide scope.
- 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_69a88a184cbc8190877791f6552c2484 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbeaa14bc81908486683decd7ae42 |
completed | March 7, 2026, 5:59 a.m. |
| PD | Predicate disambiguation | batch_69abbd9c90408190b6b65498ca43ce26 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:45 p.m.