Triple
T7306827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Konark Sun Temple |
E167992
|
entity |
| Predicate | partiallyRuined |
P23714
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Konark Sun Temple, partiallyRuined, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partiallyRuined Context triple: [Konark Sun Temple, partiallyRuined, true]
-
A.
partiallyDestroyed
chosen
Indicates that an entity has been damaged or ruined to a significant extent but not completely destroyed.
-
B.
partiallyRestored
Indicates that an entity has been brought back toward a previous or original state, but the restoration is incomplete or only partially achieved.
-
C.
restoredInPart
Indicates that something has been brought back to a previous or improved state, but only partially rather than fully.
-
D.
partiallyPreserved
Indicates that the referenced entity or object is only incompletely intact, with some parts missing, damaged, or lost while others remain.
-
E.
partlyDismantledBy
Indicates that an entity has been only partially taken apart, removed, or deconstructed by another agent or process.
- 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_69c6888d8e3c81909db79714903baf31 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebd7dcf88190b3e66bea327fc63d |
completed | March 27, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69c6e76e67d88190bd3ca6864f45845a |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 3:01 p.m.