Triple
T2182543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Lucas |
E49076
|
entity |
| Predicate | politicalEntityRepresented |
P17568
|
FINISHED |
| Object | constituency in the Parliament of England |
—
|
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: constituency in the Parliament of England | Statement: [Henry Lucas, politicalEntityRepresented, constituency in the Parliament of England]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalEntityRepresented Context triple: [Henry Lucas, politicalEntityRepresented, constituency in the Parliament of England]
-
A.
representedPoliticalEntity
chosen
Indicates that one entity has served as an official political representative or agent acting on behalf of another political entity.
-
B.
politicalEntity
Indicates that an entity functions as or is recognized as a political unit, organization, or actor within a political system.
-
C.
partyRepresentation
Indicates that one party acts on behalf of, or serves as the representative of, another party in a given context or proceeding.
-
D.
representsPeople
Indicates that one entity serves as a representation or stand-in for one or more people.
-
E.
areRepresentedIn
Indicates that one entity serves as a representation, depiction, or encoding of another entity within a given medium, context, or system.
- 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_69a88aa72d348190a9544bb5b8a4e71d |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc4358fc88190a6f556c2de9fef8c |
completed | March 7, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69abbda0ec948190be88c1243d81a423 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:45 p.m.