Triple
T25498439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goddess Anasuya Temple |
E639041
|
entity |
| Predicate | peakAltitudeContext |
P21978
|
FINISHED |
| Object | one of the highest temple sites in Rajasthan |
—
|
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 highest temple sites in Rajasthan | Statement: [Goddess Anasuya Temple, peakAltitudeContext, one of the highest temple sites in Rajasthan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakAltitudeContext Context triple: [Goddess Anasuya Temple, peakAltitudeContext, one of the highest temple sites in Rajasthan]
-
A.
meetsAtAltitude
Indicates that two or more entities come together or intersect at a specific vertical height or elevation.
-
B.
highestCampAltitudeMetres
Indicates the maximum altitude in meters reached by any camp associated with the entity.
-
C.
countryAltitudeCharacteristic
Indicates a characteristic relationship specifying the typical or notable altitude or elevation associated with a country.
-
D.
elevationContext
chosen
Indicates the contextual relationship between an entity and its elevation or vertical position relative to a reference point or environment.
-
E.
altitudeRole
Indicates the role or function an entity has with respect to altitude, such as how it is used, classified, or interpreted in terms of vertical position or height.
- 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_69e75dbbd2a88190b70e1e645de14b9a |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f7ac2b348190af2178eed0f0f18b |
completed | May 2, 2026, 1:10 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 2:41 p.m.