Triple
T16066818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wendover (constituency) |
E389754
|
entity |
| Predicate | wasBoroughConstituency |
P40786
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Wendover (constituency), wasBoroughConstituency, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasBoroughConstituency Context triple: [Wendover (constituency), wasBoroughConstituency, true]
-
A.
wasBoroughOrCountyConstituency
chosen
Indicates that something previously functioned as a parliamentary constituency defined at the borough or county level.
-
B.
isBoroughConstituency
Indicates that a parliamentary or electoral constituency is classified specifically as a borough constituency, as opposed to other constituency types.
-
C.
hasLondonAssemblyConstituency
Indicates that an entity is associated with a specific London Assembly constituency as its designated electoral or administrative area.
-
D.
wasLocalCouncillorFor
Indicates that a person previously held the position of local councillor representing a particular area, body, or jurisdiction.
-
E.
constituency
Indicates that one entity functions as a constituent or component part within the structural or organizational makeup of another entity.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e18272f2288190a17d45fb01cc2b07 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:57 a.m.