Triple
T13897729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winnifred Beach |
E334132
|
entity |
| Predicate | hasLocalFoodStalls |
P50801
|
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: [Winnifred Beach, hasLocalFoodStalls, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalFoodStalls Context triple: [Winnifred Beach, hasLocalFoodStalls, true]
-
A.
hasFoodVendors
chosen
Indicates that one entity provides or hosts food vendors that operate at or within another entity.
-
B.
hasStreetFood
Indicates that one entity offers, features, or is associated with street food in relation to another entity.
-
C.
usesLocalProduce
Indicates that one entity obtains and incorporates agricultural products sourced from nearby or locally based producers.
-
D.
hasGroceryStores
Indicates that one entity possesses, contains, or is associated with one or more grocery stores.
-
E.
hasNumberOfRestaurantsAndBars
Indicates the total count of restaurants and bars associated with a given 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de25d72c6c819093bf9c43136839d4 |
completed | April 14, 2026, 11:32 a.m. |
| PD | Predicate disambiguation | batch_69dd464b1ab48190ae50bfc902bf6ef7 |
completed | April 13, 2026, 7:38 p.m. |
Created at: April 9, 2026, 10:15 p.m.