Triple
T11395869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Covent Garden Market |
E269970
|
entity |
| Predicate | typeOfGoods |
P90900
|
FINISHED |
| Object | fresh produce |
—
|
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 produce | Statement: [New Covent Garden Market, typeOfGoods, fresh produce]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfGoods Context triple: [New Covent Garden Market, typeOfGoods, fresh produce]
-
A.
typeOfProducts
chosen
Indicates the kinds or categories of products that are associated with or offered by an entity.
-
B.
commodityType
Indicates the classification of a good or product according to its type or category within a commodity system.
-
C.
commodityClass
Indicates that one entity is classified as belonging to a particular category or class of commodities in relation to another entity.
-
D.
typicalGoodsSold
Indicates the kinds of goods or products that an entity most commonly or characteristically sells.
-
E.
typeOfGift
Indicates the specific kind or category of gift involved in a giving or gifting relationship.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80018a58c81908b80dc9abd18d650 |
completed | April 9, 2026, 7:38 p.m. |
| PD | Predicate disambiguation | batch_69d7e70b228c8190b87f5101fd683788 |
completed | April 9, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:34 p.m.