Triple
T13283349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Marychurch |
E316376
|
entity |
| Predicate | locatedInPartOfTown |
P40
|
FINISHED |
| Object | northern Torquay |
—
|
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: northern Torquay | Statement: [St Marychurch, locatedInPartOfTown, northern Torquay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInPartOfTown Context triple: [St Marychurch, locatedInPartOfTown, northern Torquay]
-
A.
locatedInPlannedTown
Indicates that an entity is situated within the boundaries of a town that has been deliberately planned or designed rather than having developed organically.
-
B.
locatedIn
chosen
Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
-
C.
usedInTown
Indicates that something is utilized, applied, or functions within the context or boundaries of a particular town.
-
D.
locatedInResortTown
Indicates that something is situated within the boundaries of a town that is primarily known as a resort or vacation destination.
-
E.
partlyInAdministrativeArea
Indicates that an entity is located such that only a portion of it lies within a specified administrative area (e.g., a city, county, or region).
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6535688190a5a4549b7be2d611 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:27 p.m.