Triple
T29073487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yarnfield |
E735870
|
entity |
| Predicate | isPartOfLocalAreaOf |
P188496
|
FINISHED |
| Object | Maiden Bradley |
—
|
NE NERFINISHED |
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: Maiden Bradley | Statement: [Yarnfield, isPartOfLocalAreaOf, Maiden Bradley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfLocalAreaOf Context triple: [Yarnfield, isPartOfLocalAreaOf, Maiden Bradley]
-
A.
isCentralLocalityOf
Indicates that a locality serves as the main or central place within a larger administrative or geographic area.
-
B.
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).
-
C.
containsSuburbanAreaOf
Indicates that one geographic region includes within its boundaries a suburban area belonging to or associated with another region.
-
D.
所在地エリア
Indicates the geographical area or region in which an entity is located or based.
-
E.
localityOf
chosen
Indicates that one entity is the specific place, area, or locality in which another entity is situated or occurs.
- 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_69f077e9b0a48190bb79548279cb7f64 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69fd4f39b5008190b83b3227ce22c509 |
completed | May 8, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69fd4df17c548190a4e2a6fea70f7e10 |
completed | May 8, 2026, 2:44 a.m. |
Created at: April 28, 2026, 10:21 a.m.