Triple
T9071982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | municipal markets of Olhão |
E217388
|
entity |
| Predicate | productSold |
P69701
|
FINISHED |
| Object | fresh fish |
—
|
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 fish | Statement: [municipal markets of Olhão, productSold, fresh fish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productSold Context triple: [municipal markets of Olhão, productSold, fresh fish]
-
A.
soldProducts
chosen
Indicates that an entity has sold certain products to another entity or in a particular context.
-
B.
soldDuring
Indicates that a selling transaction or event occurred within the time span of a specified period or event.
-
C.
soldAs
Indicates that one entity is marketed, offered, or presented to others under the name, form, or role of another entity.
-
D.
soldWith
Indicates that one item is sold together with another item as part of the same transaction or offer.
-
E.
soldWellIn
Indicates that something achieved strong sales performance within a particular market, region, or time period.
- 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_69ca83d6c14c8190bc056d927f00a2a2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc955ffa04819086be5763133c5067 |
completed | April 1, 2026, 3:47 a.m. |
| PD | Predicate disambiguation | batch_69cc65f881248190bfd220bb28a9fb5f |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:12 p.m.