Triple
T23025265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honiton street market |
E573290
|
entity |
| Predicate | typeOfGoodsSold |
P90900
|
FINISHED |
| Object | food |
—
|
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: food | Statement: [Honiton street market, typeOfGoodsSold, food]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfGoodsSold Context triple: [Honiton street market, typeOfGoodsSold, food]
-
A.
typicalGoodsSold
Indicates the kinds of goods or products that an entity most commonly or characteristically sells.
-
B.
soldProductType
Indicates that an entity has sold a product belonging to a specified product type.
-
C.
commodityType
Indicates the classification of a good or product according to its type or category within a commodity system.
-
D.
subjectOfSale
Indicates that one entity is the item, asset, or right being transferred or offered in a sale transaction involving another entity.
-
E.
typeOfProducts
chosen
Indicates the kinds or categories of products that are associated with or offered by an 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_69e245b821008190b0e09cb02092aae1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1847c671c8190a8095051d8c3cf93 |
completed | April 29, 2026, 4:09 a.m. |
| PD | Predicate disambiguation | batch_69ef3ba004a48190885aece88efd1f52 |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 17, 2026, 3:52 p.m.