Triple
T12946978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darbar Sahib |
E309794
|
entity |
| Predicate | offersFreeCommunityKitchen |
P51468
|
FINISHED |
| Object | Yes |
—
|
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: Yes | Statement: [Darbar Sahib, offersFreeCommunityKitchen, Yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersFreeCommunityKitchen Context triple: [Darbar Sahib, offersFreeCommunityKitchen, Yes]
-
A.
sharesFoodWith
Indicates that one entity gives or divides its food with another entity so that both can eat from it.
-
B.
featuresOpenKitchen
chosen
Indicates that the subject includes or provides an open-style kitchen as part of its layout or design.
-
C.
servesRiteCommunity
Indicates that an entity provides services or support specifically to the Rite community.
-
D.
communityService
Indicates participation in activities intended to benefit or support a community, typically performed voluntarily or as a civic responsibility.
-
E.
includesCommunity
Indicates that one entity encompasses, contains, or has within it a particular community as part of its scope or composition.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97db69f548190a1a693bc0d6c191a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:43 p.m.