Triple
T29782080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brunswick Park |
E756144
|
entity |
| Predicate | isWithinLocalAuthorityArea |
P65103
|
FINISHED |
| Object | Barnet |
—
|
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: Barnet | Statement: [Brunswick Park, isWithinLocalAuthorityArea, Barnet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWithinLocalAuthorityArea Context triple: [Brunswick Park, isWithinLocalAuthorityArea, Barnet]
-
A.
containsLocalAuthorityArea
Indicates that one entity geographically encompasses or includes the entire area governed by a specific local authority.
-
B.
overlapsWithLocalAuthority
Indicates that one entity’s geographic or jurisdictional area partially coincides with that of a specified local authority.
-
C.
localAuthorityArea
Indicates that one entity is a geographic or administrative area governed or managed by a specified local authority.
-
D.
currentLocalAuthority
chosen
Indicates that one entity is the local governing authority that currently has jurisdiction over another entity or area.
-
E.
isLocalAuthorityMaintained
Indicates that an entity (such as a school or service) is operated, funded, or overseen directly by a local government authority rather than by an independent or private body.
- 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_69f22451fb748190bbdbab401280affb |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f674a715b48190b2c59ce71a8320dd |
completed | May 2, 2026, 10:03 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 29, 2026, 5:05 p.m.