Triple
T22104520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uttarkashi |
E546251
|
entity |
| Predicate | hasNearbyPeak |
P7612
|
FINISHED |
| Object | Bandarpoonch |
—
|
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: Bandarpoonch | Statement: [Uttarkashi, hasNearbyPeak, Bandarpoonch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bandarpoonch Context triple: [Uttarkashi, hasNearbyPeak, Bandarpoonch]
-
A.
Bandarpunch
chosen
Bandarpunch is a prominent Himalayan mountain massif in the Garhwal region of Uttarakhand, India, known for its snow-clad peaks and challenging trekking and mountaineering routes.
-
B.
Banmauk
Banmauk is a town in northern Myanmar known for its rural setting and role as a local center of trade and administration.
-
C.
Bandikui
Bandikui is a railway junction town in Rajasthan, India, historically significant as one of the earliest and most important railway hubs in the region.
-
D.
Panadtaran
Panadtaran is a barangay (village-level administrative division) of the municipality of Argao in Cebu, Philippines.
-
E.
Bompoka
Bompoka is a small, remote island that forms part of India’s Nicobar Islands archipelago in the eastern Indian Ocean.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1291815f88190a6eaf73e444dc1c2 |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.