Triple
T37595127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riverwalk Stadium |
E935362
|
entity |
| Predicate | hasFoodOptions |
P68068
|
FINISHED |
| Object | concession stands |
—
|
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: concession stands | Statement: [Riverwalk Stadium, hasFoodOptions, concession stands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFoodOptions Context triple: [Riverwalk Stadium, hasFoodOptions, concession stands]
-
A.
hasFoodOption
chosen
Indicates that an entity offers, provides, or includes a particular type of food or dining option.
-
B.
hasDiningOptionType
Indicates that an entity offers or is associated with a specific type or category of dining option (e.g., dine-in, takeout, delivery).
-
C.
dietaryOptions
Indicates the types of diets or food-related preferences, restrictions, or choices that are applicable to or offered for an entity.
-
D.
foodOfferedTo
Indicates that some food is presented or made available by one entity for another entity to receive or consume.
-
E.
foodTypeOffered
Indicates that one entity offers or serves a particular type or category of food.
- 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_69f76ecf39c081909baffe597bb55273 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fec00f27988190955de6b6348a4d97 |
completed | May 9, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_69febd52037c8190b475dbd50fdbc13e |
completed | May 9, 2026, 4:51 a.m. |
Created at: May 3, 2026, 4:18 p.m.