Triple
T26649752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuas Power Station |
E669017
|
entity |
| Predicate | gridMarket |
P36031
|
FINISHED |
| Object | Singapore Wholesale Electricity Market |
—
|
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: Singapore Wholesale Electricity Market | Statement: [Tuas Power Station, gridMarket, Singapore Wholesale Electricity Market]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gridMarket Context triple: [Tuas Power Station, gridMarket, Singapore Wholesale Electricity Market]
-
A.
marketCenter
Indicates a relationship where a location functions as a central place for commercial exchange, trade, or economic activity for a surrounding area.
-
B.
homeMarket
Indicates the primary geographic or economic market in which an entity is based or predominantly operates.
-
C.
marketsIn
Indicates that one entity promotes, sells, or offers another entity’s products or services within a particular market or geographic area.
-
D.
marketType
Indicates the classification or category of market in which an entity operates or a transaction occurs (e.g., retail, wholesale, online).
-
E.
electricityMarket
chosen
Indicates a relationship where entities participate in, are associated with, or operate within a system for buying, selling, or trading electrical power.
- 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_69ee9d00eb5481908d6c6d0ada2f0c9a |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6167875e8819083782aec7b793143 |
completed | May 2, 2026, 3:21 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 2:32 a.m.