Triple
T23079836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saharanpur division |
E575436
|
entity |
| Predicate | hasUrbanCenter |
P2106
|
FINISHED |
| Object | Shamli |
—
|
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: Shamli | Statement: [Saharanpur division, hasUrbanCenter, Shamli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shamli Context triple: [Saharanpur division, hasUrbanCenter, Shamli]
-
A.
Shamli
chosen
Shamli is a town and district headquarters in western Uttar Pradesh, India, known for its agricultural markets and role as a regional trade center.
-
B.
Shamlaji
Shamlaji is a prominent temple town and pilgrimage site in Gujarat, India, renowned for its ancient Shamlaji Temple dedicated to Lord Vishnu.
-
C.
Banshiwala
Banshiwala is a Bengali novel by acclaimed writer Shirshendu Mukhopadhyay, known for its evocative storytelling and exploration of human relationships.
-
D.
Kamli
"Kamli" is a popular Bollywood song sung by Indian playback singer Sunidhi Chauhan, known for its high energy and powerful vocals.
-
E.
Sambhal
Sambhal is a town in the Indian state of Uttar Pradesh known for its historical significance and role as an administrative and commercial center in the region.
- 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_69e245be28d48190ad1348d5a73db37d |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c66a80481909ebc2ba69f1e4bd9 |
completed | April 29, 2026, 4:43 a.m. |
Created at: April 17, 2026, 3:56 p.m.