Triple
T32207870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tehri Garhwal Lok Sabha constituency |
E822719
|
entity |
| Predicate | includesPilgrimageCentre |
P144411
|
FINISHED |
| Object | Gangotri |
E25495
|
NE 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: Gangotri | Statement: [Tehri Garhwal Lok Sabha constituency, includesPilgrimageCentre, Gangotri]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesPilgrimageCentre Context triple: [Tehri Garhwal Lok Sabha constituency, includesPilgrimageCentre, Gangotri]
-
A.
containsNotablePilgrimageCentre
chosen
Indicates that a place includes within its boundaries a significant pilgrimage center recognized for religious or spiritual journeys.
-
B.
containsPilgrimageCircuit
Indicates that a location or area includes within it a defined route or set of sites followed as part of a pilgrimage.
-
C.
isPilgrimageDestination
Indicates that a place serves as a destination specifically visited by people undertaking a religious or spiritual pilgrimage.
-
D.
wasPilgrimageCenterIn
Indicates that a place functioned as a pilgrimage center in a specified time or period.
-
E.
isPilgrimageStopOn
Indicates that a location serves as a designated stop or waypoint along a particular pilgrimage route.
- F. None of above.
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_69f3490a3bec819097bc58d4731b9d08 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a01b935e3948190a7af37b07938d618 |
completed | May 11, 2026, 11:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2f46c5efbc81908dfa898fc7307245 |
completed | June 15, 2026, 12:26 a.m. |
| PD | Predicate disambiguation | batch_6a01b8d198b48190b01e16ac9ce7e7bd |
completed | May 11, 2026, 11:09 a.m. |
Created at: May 1, 2026, 12:37 a.m.