Triple
T8193512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banjar |
E191369
|
entity |
| Predicate | hasNearbyVillage |
P4647
|
FINISHED |
| Object | Gushaini |
E368172
|
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: Gushaini | Statement: [Banjar, hasNearbyVillage, Gushaini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gushaini Context triple: [Banjar, hasNearbyVillage, Gushaini]
-
A.
Barshaini
chosen
Barshaini is a small Himalayan village in Himachal Pradesh, India, that serves as a popular base and trailhead for treks into the Parvati Valley and surrounding high-altitude landscapes.
-
B.
Gurk
Gurk is a river in southern Austria that flows through Carinthia before joining the Drava.
-
C.
Gogra
Gogra is an alternative name for Kauriala, a locality whose identity is primarily tied to this regional designation.
-
D.
Upangas
Upangas are a group of secondary Jain scriptures that elaborate and supplement the teachings found in the primary Agamas.
-
E.
Rishra
Rishra is an industrial town and municipal area in the Hooghly district of West Bengal, India, known for its jute mills and proximity to Kolkata along the Hooghly River.
- 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_69ca82c5b6948190a583c096fb0a6c71 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb5c1d7aa48190adbbce88b3bed1a3 |
completed | March 31, 2026, 5:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd67c5853c8190843e7520f3be73b2 |
completed | April 1, 2026, 6:45 p.m. |
Created at: March 30, 2026, 5:42 p.m.