Triple
T35022560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Po Kong |
E1010234
|
entity |
| Predicate | nearDevelopment |
P79682
|
FINISHED |
| Object | Kai Tak Development |
—
|
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: Kai Tak Development | Statement: [San Po Kong, nearDevelopment, Kai Tak Development]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearDevelopment Context triple: [San Po Kong, nearDevelopment, Kai Tak Development]
-
A.
near
Indicates that one entity is located at a short distance from another entity in space or position.
-
B.
nearPass
Indicates that one entity moves or travels close to another entity without necessarily making direct contact or interaction.
-
C.
hasNearbyDevelopment
chosen
Indicates that a development or construction project exists in close physical proximity to the referenced entity.
-
D.
nearDowntown
Indicates that one location is situated close to or within a short distance of a city’s downtown area.
-
E.
developmentAround
Indicates that development or construction activity is occurring in the vicinity or surrounding area of a specified entity.
- 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_69f76dccf0108190af43b465d3750196 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7858aa5508190a07dde993b3356fc |
completed | May 3, 2026, 5:27 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4:01 p.m.