Triple
T22104430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shatrunjaya Hill |
E546249
|
entity |
| Predicate | hasClusterOfTemples |
P49029
|
FINISHED |
| Object | Tonks |
—
|
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: Tonks | Statement: [Shatrunjaya Hill, hasClusterOfTemples, Tonks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClusterOfTemples Context triple: [Shatrunjaya Hill, hasClusterOfTemples, Tonks]
-
A.
hasTempleCluster
chosen
Indicates that an entity possesses or contains a group or complex of temples considered as a single clustered unit.
-
B.
hasTempleOf
Indicates that a location or entity possesses, contains, or is the site of a temple dedicated to a particular deity, figure, or purpose.
-
C.
hasTempleCount
Indicates that an entity is associated with a specified number of temples.
-
D.
hasTempleLocation
Indicates that a temple is located at or associated with a specific place or geographic location.
-
E.
hasTempleDistrict
Indicates that a place or settlement contains or is associated with a designated temple district area.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1291815f88190a6eaf73e444dc1c2 |
completed | April 28, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69e71b20ec50819096ac196c798f8e3c |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:30 p.m.