Triple
T5274292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suva Municipal Market |
E119336
|
entity |
| Predicate | primaryGoodsSold |
P53553
|
FINISHED |
| Object | fresh fruits |
—
|
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: fresh fruits | Statement: [Suva Municipal Market, primaryGoodsSold, fresh fruits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryGoodsSold Context triple: [Suva Municipal Market, primaryGoodsSold, fresh fruits]
-
A.
exportedGood
Indicates that a good has been sent out from one country or region to another as part of international trade.
-
B.
typicalGoodsSold
chosen
Indicates the kinds of goods or products that an entity most commonly or characteristically sells.
-
C.
majorTradeType
Indicates the primary category or kind of trade activity that characterizes the relationship between the involved entities.
-
D.
commodity
Indicates that one entity is a tradable good or resource that is bought, sold, or exchanged in relation to another entity.
-
E.
isMajorProducerOf
Indicates that an entity plays a leading or highly significant role in producing or supplying a particular product, resource, or output.
- 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_69bd446c38e081908cdaf113bdf86790 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7c22a29081908a022847e61af8a9 |
completed | March 20, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69bd77c83d1c8190bd8b9616113d413c |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:51 p.m.