Triple
T4664383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khajuraho Group of Monuments |
E102809
|
entity |
| Predicate | numberOfTemplesSurviving |
P43478
|
FINISHED |
| Object | about 20 |
—
|
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: about 20 | Statement: [Khajuraho Group of Monuments, numberOfTemplesSurviving, about 20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTemplesSurviving Context triple: [Khajuraho Group of Monuments, numberOfTemplesSurviving, about 20]
-
A.
pilgrimageTempleCount
Indicates the number of temples associated with or visited during a particular pilgrimage.
-
B.
hasTempleCount
chosen
Indicates that an entity is associated with a specified number of temples.
-
C.
lastMajorTempleClosed
Indicates the time or event at which the final significant temple associated with an entity was permanently closed.
-
D.
oneOfOldestTemplesIn
Indicates that a temple is among the oldest temples located within a specified place or region.
-
E.
hasHistoricTemple
Indicates that an entity possesses, contains, or is associated with a temple of historical significance.
- 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd633aeba88190a8329ed022d685b6 |
completed | March 20, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69bd62126b0c81909ba3f21b21e30d54 |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:15 p.m.