Triple
T18658019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarn Taran Sahib |
E456116
|
entity |
| Predicate | sarovarSignificance |
P94957
|
FINISHED |
| Object | one of the largest sarovars in Sikh shrines |
—
|
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: one of the largest sarovars in Sikh shrines | Statement: [Tarn Taran Sahib, sarovarSignificance, one of the largest sarovars in Sikh shrines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sarovarSignificance Context triple: [Tarn Taran Sahib, sarovarSignificance, one of the largest sarovars in Sikh shrines]
-
A.
hasSarovar
chosen
Indicates that one entity possesses, contains, or is associated with a sarovar (a lake or water body).
-
B.
sacredRiver
Indicates that a river is regarded as holy or spiritually significant within a religious or cultural tradition.
-
C.
alsoAttractsTouristsIn
Indicates that a place, in addition to another, draws or appeals to tourists within a specified location or context.
-
D.
hasRiverSourceMonument
Indicates that a monument marks or commemorates the source (origin point) of a river.
-
E.
isPlaceOfPilgrimageFor
Indicates that a location serves as a destination for religious or spiritual pilgrimage for a person or group.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55087ae8081909cb4c0ce6c809d55 |
completed | April 19, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69e478d85864819093cbad5ed9b54878 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:48 a.m.