Triple
T36217206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mandapa-Durga |
E1047730
|
entity |
| Predicate | earlierCulturalInfluence |
P187411
|
FINISHED |
| Object | Paramara Rajput architecture |
—
|
NE NERFINISHED |
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: Paramara Rajput architecture | Statement: [Mandapa-Durga, earlierCulturalInfluence, Paramara Rajput architecture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earlierCulturalInfluence Context triple: [Mandapa-Durga, earlierCulturalInfluence, Paramara Rajput architecture]
-
A.
earlierCulturalSphere
chosen
Indicates that one cultural sphere existed or was influential before another in time.
-
B.
heritageInfluence
Indicates how one entity’s cultural, historical, or ancestral background affects or shapes another entity’s characteristics, behavior, or development.
-
C.
preRomanCulturalInfluence
Indicates that one culture exerted influence on another during the period before Roman dominance or rule.
-
D.
hasCulturalImpact
Indicates that one entity has influenced, shaped, or significantly affected the culture, values, practices, or artistic expressions of another.
-
E.
wereInfluencedBy
Indicates that one entity’s ideas, actions, or characteristics were shaped or affected by another entity.
- 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_69f76e42c878819095c8d19c0267fb87 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
Created at: May 3, 2026, 4:09 p.m.