Triple
T32207581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Triveni Ghat |
E822713
|
entity |
| Predicate | lightingUsedInRitual |
P124620
|
FINISHED |
| Object | oil lamps |
—
|
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: oil lamps | Statement: [Triveni Ghat, lightingUsedInRitual, oil lamps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lightingUsedInRitual Context triple: [Triveni Ghat, lightingUsedInRitual, oil lamps]
-
A.
appearsInRitual
Indicates that an entity is included, featured, or participates as a component or element within a specific ritual.
-
B.
hasLightingRitualTime
Indicates the specific time at which a lighting-related ritual or ceremony is performed.
-
C.
languageUsedInRituals
Indicates that a particular language is employed as the medium of speech, chant, or recitation during specific rituals or ceremonial practices.
-
D.
usesRitually
chosen
Indicates that an entity employs or performs something as part of a ritual or ceremonial practice.
-
E.
usedToIlluminate
Indicates that one entity served as a source of light for another entity or environment.
- 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_69f3490a3bec819097bc58d4731b9d08 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bb8fea508190b1e1b41b8fbded49 |
completed | May 3, 2026, 3:05 a.m. |
| PD | Predicate disambiguation | batch_69f6b6293188819080d5041ca0adb969 |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:37 a.m.