Triple
T11321295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juhu |
E268098
|
entity |
| Predicate | popularStreetFood |
P8359
|
FINISHED |
| Object | pav bhaji |
—
|
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: pav bhaji | Statement: [Juhu, popularStreetFood, pav bhaji]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: popularStreetFood Context triple: [Juhu, popularStreetFood, pav bhaji]
-
A.
hasStreetFood
chosen
Indicates that one entity offers, features, or is associated with street food in relation to another entity.
-
B.
favoriteFood
Indicates that one entity has a preferred or most liked food item in relation to another entity or context.
-
C.
foodCulture
Indicates the relationship between a place or group and its characteristic traditions, practices, and preferences surrounding food and eating.
-
D.
foodCustom
Indicates a culturally specific practice, rule, or tradition related to the preparation, serving, or consumption of food.
-
E.
alsoEats
Indicates that an entity consumes something in addition to another item or items it already eats.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9dff37081909622623e66e17ccd |
completed | April 9, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69d787ad575081908274280bf75d95fd |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.