Triple
T10500412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yorkshire County Fish Shop |
E247655
|
entity |
| Predicate | hasTakeaway |
P68068
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Yorkshire County Fish Shop, hasTakeaway, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTakeaway Context triple: [Yorkshire County Fish Shop, hasTakeaway, true]
-
A.
takesAway
Indicates that one entity removes, deprives, or causes another entity to lose something it previously had.
-
B.
hasFoodOption
chosen
Indicates that an entity offers, provides, or includes a particular type of food or dining option.
-
C.
hasRestaurantType
Indicates that an entity is associated with or classified as a particular type or category of restaurant.
-
D.
hasRestaurant
Indicates that one entity possesses, operates, or contains a restaurant associated with it.
-
E.
pickupOption
Indicates that one entity offers or selects a method or arrangement for collecting or retrieving another entity (such as goods, items, or services).
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5098ef57c8190a9803c2c1736d299 |
completed | April 7, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69d4fb8e24ac8190912c9f11b8bd3084 |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:25 p.m.