Triple
T35798360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CLP Power Hong Kong |
E1034896
|
entity |
| Predicate | suppliesFrom |
P138584
|
FINISHED |
| Object | Castle Peak Power Station |
—
|
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: Castle Peak Power Station | Statement: [CLP Power Hong Kong, suppliesFrom, Castle Peak Power Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: suppliesFrom Context triple: [CLP Power Hong Kong, suppliesFrom, Castle Peak Power Station]
-
A.
suppliesTo
Indicates that one entity provides or delivers goods, services, or resources to another entity.
-
B.
suppliesViaBranches
Indicates that one entity provides goods or services to another entity through its branch locations or subsidiary outlets.
-
C.
suppliesIndustry
Indicates that one entity provides goods, services, or resources to support the operations or needs of an industry or industrial sector.
-
D.
supplyBy
chosen
Indicates that one entity is provided, furnished, or made available by another entity as its source or supplier.
-
E.
suppliesCity
Indicates that one entity provides goods, resources, or services to a city.
- 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_69f76e169bd081909f16cd8c9ee7870c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.