Triple
T21478532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bijbehara |
E529924
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Awantipora |
—
|
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: Awantipora | Statement: [Bijbehara, hasNearbySettlement, Awantipora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Awantipora Context triple: [Bijbehara, hasNearbySettlement, Awantipora]
-
A.
Awantipora
chosen
Awantipora is a town in the Kashmir Valley of Jammu and Kashmir, India, known for its historic Awantipora temple ruins and scenic location along the Jhelum River.
-
B.
Tanakpur
Tanakpur is a small town in Uttarakhand, India, known as a gateway to the Kumaon region and a key transit point to the neighboring country of Nepal.
-
C.
Nawalgarh
Nawalgarh is a historic town in Rajasthan, India, renowned for its richly painted havelis and cultural heritage within the Shekhawati region.
-
D.
Nagaur
Nagaur is a historic city in Rajasthan, India, known for its medieval fort, cultural heritage, and role as an important center in the Marwar region.
-
E.
Ranakpur
Ranakpur is a village in Rajasthan, India, renowned for its intricately carved Jain temples and stunning marble architecture set amid the Aravalli hills.
- 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_69e0c45acc3881908e38d3f28964152b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea1951fc8190910f634327aa5c3f |
completed | April 23, 2026, 9:44 a.m. |
Created at: April 16, 2026, 6:20 p.m.