Triple
T21832157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betaab Valley |
E539022
|
entity |
| Predicate | nearbyAttraction |
P3449
|
FINISHED |
| Object | Chandanwari |
—
|
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: Chandanwari | Statement: [Betaab Valley, nearbyAttraction, Chandanwari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chandanwari Context triple: [Betaab Valley, nearbyAttraction, Chandanwari]
-
A.
Chandanwari
chosen
Chandanwari is a scenic mountain valley in Jammu and Kashmir, India, known as a key starting point for the annual Amarnath Yatra pilgrimage and for its snow-covered landscapes.
-
B.
Damouchari
Damouchari is a small coastal village in the Pelion region of Greece, known for its picturesque harbor, traditional stone houses, and use as a filming location for the movie "Mamma Mia!".
-
C.
Chanditala
Chanditala is a town in West Bengal, India, known as a suburban locality within the Kolkata metropolitan region.
-
D.
Chakulia
Chakulia is a town in Jharkhand, India, known as an emerging urban and industrial hub within the greater Jamshedpur industrial region.
-
E.
Dwarikhal
Dwarikhal is a small town located in the hilly Pauri Garhwal district of Uttarakhand in northern India.
- 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_69e0c475cda88190987d08f23caebdc1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7a4d2d0819088ded045caeab52d |
completed | April 28, 2026, 12:27 p.m. |
Created at: April 16, 2026, 6:55 p.m.