Triple
T35165836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boothferry (UK Parliament constituency) |
E1015399
|
entity |
| Predicate | startOfRepresentationByDavidDavis |
P51822
|
FINISHED |
| Object | 1987 |
—
|
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: 1987 | Statement: [Boothferry (UK Parliament constituency), startOfRepresentationByDavidDavis, 1987]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startOfRepresentationByDavidDavis Context triple: [Boothferry (UK Parliament constituency), startOfRepresentationByDavidDavis, 1987]
-
A.
representationBegins
chosen
Indicates that the act or state of representing something starts or comes into effect at a particular point in time.
-
B.
portrayalStart
Indicates the point in time or sequence at which a particular portrayal or depiction of something begins.
-
C.
firstStagePortrayalBy
Indicates that an entity’s initial or earliest stage is depicted or represented by another entity.
-
D.
hadRepresentationOf
Indicates that one entity served as a depiction, symbol, or representational form of another entity.
-
E.
formerRepresentation
Indicates that one entity previously served as the representative (e.g., legal, political, or organizational) of another entity, but no longer holds that role.
- 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_69f76ddbfde081908bffc91572368289 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a005b2e0a9c819081c6f7ccbef49ff8 |
completed | May 10, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_6a005a8bcde88190ace2bc0215e26430 |
completed | May 10, 2026, 10:14 a.m. |
Created at: May 3, 2026, 4:02 p.m.