Triple
T18296929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chartists |
E438253
|
entity |
| Predicate | numberOfNationalPetitions |
P90846
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Chartists, numberOfNationalPetitions, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfNationalPetitions Context triple: [Chartists, numberOfNationalPetitions, 3]
-
A.
numberOfPetitions
chosen
Indicates the total count of petitions associated with a given entity or context.
-
B.
containsPetition
Indicates that one entity includes or holds a petition within it, either as content or as a component.
-
C.
partyTypePetitioners
Indicates that the associated parties in a legal case are classified as petitioners.
-
D.
numberOfPropositions
Indicates the total count of distinct propositions associated with or contained within a given entity or context.
-
E.
numberOfMandates
Indicates the total count of mandates, terms, or official assignments associated with an entity in a given context.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5017c0f04819095cd9d59afc37caa |
completed | April 19, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69e44fdf43d08190bbcfb6b1fe3cc0ee |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:35 a.m.