Triple
T29186460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Govinda’s restaurant or prasadam hall |
E739880
|
entity |
| Predicate | foodOfferedTo |
P166411
|
FINISHED |
| Object | Krishna |
—
|
NE NERFINISHED |
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: Krishna | Statement: [Govinda’s restaurant or prasadam hall, foodOfferedTo, Krishna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foodOfferedTo Context triple: [Govinda’s restaurant or prasadam hall, foodOfferedTo, Krishna]
-
A.
eatsFoodGivenBy
Indicates that one entity consumes food that has been provided or supplied by another entity.
-
B.
foodItem
Indicates that one entity is a food item that can be eaten or used as food in relation to another entity.
-
C.
intendedFood
Indicates that one entity is the food item that another entity plans or is meant to eat or consume.
-
D.
hasFoodOption
Indicates that an entity offers, provides, or includes a particular type of food or dining option.
-
E.
isEatenIn
Indicates that one entity (typically food) is consumed within the context, location, or occasion specified by another entity.
- F. None of above. chosen
Provenance (4 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_69f07cb74c2c8190ad396487fcb4fde6 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f6638722fc819098f18314dfa88a6c |
completed | May 2, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69f65c24f8b48190af81b575f3c15be5 |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65fb2ead08190b06677d4d6ea1ea8 |
completed | May 2, 2026, 8:33 p.m. |
Created at: April 28, 2026, noon