Triple
T25658265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Millfield Primary School |
E643299
|
entity |
| Predicate | isLocatedInTypeOfArea |
P160637
|
FINISHED |
| Object | village |
—
|
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: village | Statement: [Millfield Primary School, isLocatedInTypeOfArea, village]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLocatedInTypeOfArea Context triple: [Millfield Primary School, isLocatedInTypeOfArea, village]
-
A.
hasAreaType
Indicates that an entity is associated with a specific kind or classification of area (e.g., urban, rural, coastal).
-
B.
isInArea
Indicates that one entity is located within the spatial bounds or region defined by another entity.
-
C.
isInLandAreaType
chosen
Indicates that one entity is located within, or belongs to, a specified type of land area (such as urban, rural, coastal, or agricultural).
-
D.
isOneOfMainAreasFor
Indicates that something belongs to the primary set of domains, topics, or fields associated with another entity.
-
E.
isLocatedInAdministrativeArea
Indicates that one entity is situated within the geographic or jurisdictional boundaries of a specified administrative area (such as a city, county, state, 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_69e77e7d8a848190a98d0162325fd780 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6352fdb788190b9bad30243690743 |
completed | May 2, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69f63182f1408190bddc1214fcbd6145 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 21, 2026, 6:37 p.m.