Triple
T298708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California constitutional convention of 1849 |
E6150
|
entity |
| Predicate | hasNumberOfParticipants |
P1131
|
FINISHED |
| Object | 48 |
—
|
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: 48 | Statement: [California constitutional convention of 1849, hasNumberOfParticipants, 48]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfParticipants Context triple: [California constitutional convention of 1849, hasNumberOfParticipants, 48]
-
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.
hasParticipantCity
Indicates that a city is involved as a participant in an event, activity, or relationship.
-
D.
hasNumberOfTeams
Indicates the quantity of teams associated with or contained by a given entity.
-
E.
hasMarketParticipants
Indicates that a market or trading venue involves or is associated with specific participating entities (such as buyers, sellers, or intermediaries).
- 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea0dd1dc8190aecd5afdeb2fd74b |
completed | Feb. 28, 2026, 1:13 p.m. |
| PD | Predicate disambiguation | batch_69a2e9398df08190af40063a2de7a1d0 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.