Triple
T31706895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanwariya |
E809204
|
entity |
| Predicate | offersAt |
P193484
|
FINISHED |
| Object | Shiva temple |
—
|
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: Shiva temple | Statement: [Kanwariya, offersAt, Shiva temple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersAt Context triple: [Kanwariya, offersAt, Shiva temple]
-
A.
offersMass
Indicates that one entity provides or makes available a certain mass or quantity of material or substance to another entity.
-
B.
offersProduct
Indicates that one entity makes a product available to another entity, typically for sale or use.
-
C.
offersObject
Indicates that a subject provides or makes available a specific object to another party as an offer.
-
D.
offersWorksBy
Indicates that one entity makes works created by another entity available, such as for sale, display, or access.
-
E.
offersServiceIn
Indicates that a provider makes a particular service available within a specified location or jurisdiction.
- F. None of above. chosen
Provenance (4 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_69f348de914081909fc8edff56f34dbe |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fd485f57dc8190820365396d041991 |
completed | May 8, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69fd47d35da081908bec8901018d186c |
completed | May 8, 2026, 2:17 a.m. |
| PDg | Predicate description generation | batch_69fd485e0c20819099756b4fe39ac326 |
completed | May 8, 2026, 2:20 a.m. |
Created at: April 30, 2026, 11:14 p.m.