Triple
T38554047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asua people |
E925192
|
entity |
| Predicate | tradeGoodsProvided |
P26480
|
FINISHED |
| Object | meat |
—
|
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: meat | Statement: [Asua people, tradeGoodsProvided, meat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tradeGoodsProvided Context triple: [Asua people, tradeGoodsProvided, meat]
-
A.
productsTraded
chosen
Indicates that one entity exchanges or deals specific goods or commodities with another entity.
-
B.
commodityProduced
Indicates that a particular commodity is generated, manufactured, or otherwise produced by a specified entity or process.
-
C.
exportedGood
Indicates that a good has been sent out from one country or region to another as part of international trade.
-
D.
typicalGoodsSold
Indicates the kinds of goods or products that an entity most commonly or characteristically sells.
-
E.
tradeAspect
Indicates a relationship where one entity is associated with a specific aspect, feature, or dimension of a trade or commercial transaction.
- 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_69f76eaeb69c8190b367df9330d6f6af |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcd31a897481908d9d8571e51f524f |
completed | May 7, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f81cbc8190b4fd3bfc3106c1f3 |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:32 p.m.