Triple
T4596332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borough of Macclesfield |
E100211
|
entity |
| Predicate | hadBoroughStatusUntil |
P52625
|
FINISHED |
| Object | 2009-03-31 |
—
|
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: 2009-03-31 | Statement: [Borough of Macclesfield, hadBoroughStatusUntil, 2009-03-31]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadBoroughStatusUntil Context triple: [Borough of Macclesfield, hadBoroughStatusUntil, 2009-03-31]
-
A.
hasBorough
Indicates that one entity is located within, belongs to, or is administratively part of a specific borough.
-
B.
hasBoroughEndpoint
Indicates that something has an endpoint located within a specific borough.
-
C.
hasMunicipalStatusUntil
chosen
Indicates that an entity possessed municipal status up to, but not beyond, a specified point in time.
-
D.
hasBoroughCode
Indicates that an entity is associated with a specific borough identified by a particular code.
-
E.
metropolitanStatusHeld
Indicates that an entity holds or is assigned a particular metropolitan status (e.g., being designated as part of a metropolitan area or category).
- 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_69bd43cbc014819098b45f435908f88a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd594055dc8190a50f1b4be2be1ba0 |
completed | March 20, 2026, 2:27 p.m. |
| PD | Predicate disambiguation | batch_69bd522c811c81909aae4feadae33174 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:11 p.m.