Triple
T28952806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanghai International Finance Centre |
E731063
|
entity |
| Predicate | isLocatedInBusinessDistrict |
P16988
|
FINISHED |
| Object | Lujiazui CBD |
—
|
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: Lujiazui CBD | Statement: [Shanghai International Finance Centre, isLocatedInBusinessDistrict, Lujiazui CBD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLocatedInBusinessDistrict Context triple: [Shanghai International Finance Centre, isLocatedInBusinessDistrict, Lujiazui CBD]
-
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.
isBusinessCenter
Indicates that a location or facility functions primarily as a hub for business activities, services, or operations.
-
D.
isLocatedDowntown
Indicates that an entity is situated within the downtown area of a city or town.
-
E.
isShoppingDistrict
Indicates that a location functions primarily as a shopping district, characterized by a concentration of retail stores and commercial shopping activity.
- 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_69f043eb9bcc819091ac7b07aecb6475 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f6db1f3ec48190a82e7d893d3c76ba |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
Created at: April 28, 2026, 8:45 a.m.