Triple
T6968677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dravidian temple architecture |
E161549
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | garbhagriha |
E359363
|
NE 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: garbhagriha | Statement: [Dravidian temple architecture, hasComponent, garbhagriha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: garbhagriha Context triple: [Dravidian temple architecture, hasComponent, garbhagriha]
-
A.
Garbhagriha
chosen
Garbhagriha is the innermost sanctum of a Hindu temple where the primary deity's idol is enshrined and worshipped.
-
B.
Ghari
Ghari is an Oceanic language spoken in the Solomon Islands, belonging to the Meso-Melanesian branch of the Austronesian language family.
-
C.
Gofa
Gofa is an Omotic language spoken primarily by the Gofa people in southwestern Ethiopia.
-
D.
Gabbeh
Gabbeh is a 1996 Iranian art film by Mohsen Makhmalbaf, celebrated for its poetic storytelling and richly colored, visually striking depiction of rural nomadic life.
-
E.
Ebabbar
Ebabbar was the principal sun-god temple of the ancient Mesopotamian city of Sippar, dedicated to the deity Shamash.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c68853cff881908439d488924a8283 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db152b2081909271493a5d1469fb |
completed | March 27, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7619ada248190941ddf3b13cf3a74 |
completed | March 28, 2026, 5:05 a.m. |
Created at: March 27, 2026, 2:30 p.m.