Triple
T9758545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Eloquent Peasant |
E236611
|
entity |
| Predicate | numberOfPetitions |
P90846
|
FINISHED |
| Object | nine |
—
|
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: nine | Statement: [The Eloquent Peasant, numberOfPetitions, nine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPetitions Context triple: [The Eloquent Peasant, numberOfPetitions, nine]
-
A.
containsPetition
Indicates that one entity includes or holds a petition within it, either as content or as a component.
-
B.
numberOfPropositions
Indicates the total count of distinct propositions associated with or contained within a given entity or context.
-
C.
numberOfSupporters
Indicates the quantity of entities that provide backing, endorsement, or support to a given entity or proposition.
-
D.
numberOfBallots
Indicates the total count of ballots associated with a particular election, contest, or voting event.
-
E.
canBePetitionedBy
Indicates that an entity is eligible to receive formal petitions, requests, or appeals from another entity.
- 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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda047d0408190b91f7195513da6e8 |
completed | April 1, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69cd03d0772c8190bd1750cf1cfba309 |
completed | April 1, 2026, 11:38 a.m. |
| PDg | Predicate description generation | batch_69cd081a9c5c819093439be7e802ff85 |
completed | April 1, 2026, 11:57 a.m. |
Created at: March 30, 2026, 8:24 p.m.