Triple
T34071253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Devon House |
E873774
|
entity |
| Predicate | partOfBusinessDistrict |
P16988
|
FINISHED |
| Object | Taikoo Place business district |
—
|
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: Taikoo Place business district | Statement: [Devon House, partOfBusinessDistrict, Taikoo Place business district]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfBusinessDistrict Context triple: [Devon House, partOfBusinessDistrict, Taikoo Place business district]
-
A.
isInBusinessDistrict
chosen
Indicates that an entity is located within a designated business or commercial district area.
-
B.
hasBusinessDistrict
Indicates that a place or administrative area contains or includes a designated business district within its boundaries.
-
C.
isPartOfBusinessArea
Indicates that one entity belongs to, is included within, or falls under the scope of a particular business area.
-
D.
isPartOfNeighborhoodArea
Indicates that one area or unit is contained within or belongs to a specific neighborhood area.
-
E.
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).
- 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_69f349a566808190a1c63b898f33cddf |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a002962f6e081909906d6436bae6407 |
completed | May 10, 2026, 6:44 a.m. |
| PD | Predicate disambiguation | batch_6a00284c9c7c8190a77f18a41eee55df |
completed | May 10, 2026, 6:40 a.m. |
Created at: May 1, 2026, 1:52 a.m.