Triple
T22747935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sual Power Station |
E562604
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Sual |
—
|
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: Sual | Statement: [Sual Power Station, locatedIn, Sual]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sual Context triple: [Sual Power Station, locatedIn, Sual]
-
A.
Sual
chosen
Sual is a coastal municipality in the province of Pangasinan, Philippines, known for hosting one of the country’s major coal-fired power plants along the Lingayen Gulf.
-
B.
Qus
Qus is a town in Upper Egypt situated along the Nile River within the modern Qena Governorate.
-
C.
QUE
QUE is the standard abbreviation used for the Quebec Remparts, a major junior ice hockey team in the Quebec Major Junior Hockey League.
-
D.
QUE
QUE is the station code for Queen station, a public transit stop in Toronto's subway system.
-
E.
Q
Q refers to Qualcomm Stadium, the former multi-purpose sports venue in San Diego that hosted NFL and MLB teams as well as major events.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245513a5c81908d5cb471b4fc429d |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179b702388190b134dde5f80ea3cd |
completed | April 29, 2026, 3:23 a.m. |
Created at: April 17, 2026, 3:24 p.m.