Triple
T19272197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shopian |
E481956
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Mughal Road |
—
|
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: Mughal Road | Statement: [Shopian, locatedOn, Mughal Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mughal Road Context triple: [Shopian, locatedOn, Mughal Road]
-
A.
Mughal Road
chosen
Mughal Road is a historic mountain pass route in Jammu and Kashmir, India, that serves as an alternative connection between the Kashmir Valley and the Pir Panjal region.
-
B.
Shershah Road
Shershah Road is a primary thoroughfare serving as a key transportation route within SITE Town in Karachi, Pakistan.
-
C.
Shahjahan Road
Shahjahan Road is a prominent thoroughfare in New Delhi, India, known for housing important government and institutional buildings.
-
D.
Mathura Road
Mathura Road is a major arterial roadway in Delhi that forms part of National Highway 44 and connects central Delhi with its southern and southeastern suburbs.
-
E.
Kashmir Road
Kashmir Road is a major roadway in Pakistan’s Murree region that serves as a key access route to nearby hill stations and tourist resorts such as Bhurban.
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbb9bd5881909d86c5def7770fdd |
completed | April 20, 2026, 10:11 a.m. |
Created at: April 10, 2026, 1:29 p.m.