Triple
T6950949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camberwell Grove conservation area |
E160920
|
entity |
| Predicate | withinBoroughPolicy |
P74253
|
FINISHED |
| Object | Southwark conservation area policies |
—
|
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: Southwark conservation area policies | Statement: [Camberwell Grove conservation area, withinBoroughPolicy, Southwark conservation area policies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: withinBoroughPolicy Context triple: [Camberwell Grove conservation area, withinBoroughPolicy, Southwark conservation area policies]
-
A.
containsEntireBorough
Indicates that one entity fully encompasses the whole geographic area of a borough within its boundaries.
-
B.
boardingPolicy
Indicates the rules or procedures governing how and in what order passengers are allowed to board a vehicle or vessel.
-
C.
venuePolicy
Indicates the rules or guidelines that govern how activities or events may be conducted at a particular venue.
-
D.
containsCityOrBorough
Indicates that a geographic or administrative area includes, within its boundaries, a specific city or borough.
-
E.
hasBorough
Indicates that one entity is located within, belongs to, or is administratively part of a specific borough.
- F. None of above. chosen
Provenance (4 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_69c68850419081909fb426b8f5a304c7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dacca12481908942ba793a104cc3 |
completed | March 27, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bf0a7c8190b5ed4aca22ba9b97 |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6dacb524c81909aade2282a4c0c01 |
completed | March 27, 2026, 7:30 p.m. |
Created at: March 27, 2026, 2:29 p.m.