Triple
T15270094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pasar Terapung Lok Baintan |
E364998
|
entity |
| Predicate | tradersUse |
P84715
|
FINISHED |
| Object | wooden boats |
—
|
LITERAL FINISHED |
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: wooden boats | Statement: [Pasar Terapung Lok Baintan, tradersUse, wooden boats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tradersUse Context triple: [Pasar Terapung Lok Baintan, tradersUse, wooden boats]
-
A.
usedForTrading
chosen
Indicates that one entity serves as a medium, instrument, or item exchanged in commercial or barter transactions involving another entity.
-
B.
trades
Indicates an exchange relationship where one party gives something of value to another in return for something else of value.
-
C.
usedForTradeBetween
Indicates that something serves as a medium, instrument, or basis for trade or exchange between two or more parties.
-
D.
usesTradingSystem
Indicates that one entity employs or operates a particular trading system to conduct its trading activities.
-
E.
tradesAs
Indicates that one entity conducts business or is publicly known under the trading name or brand of another 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0094eac848190a1740ae1aa6b28e0 |
completed | April 15, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69deca90739081909bd1b797cdb8af2b |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:14 a.m.