Triple
T19597891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sher Shah Road, New Delhi |
E470394
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Mathura 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: Mathura Road | Statement: [Sher Shah Road, New Delhi, near, Mathura Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mathura Road Context triple: [Sher Shah Road, New Delhi, near, Mathura Road]
-
A.
Mathura Road
chosen
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.
-
B.
Nashik Road
Nashik Road is a major railway junction in Maharashtra, India, serving as the primary rail gateway to the city of Nashik and its surrounding region.
-
C.
Nagar Road
Nagar Road is a major arterial roadway in Pune, India, connecting the city to its eastern suburbs and the Pune–Ahmednagar highway while serving key commercial and residential areas.
-
D.
Najafgarh Road
Najafgarh Road is a major arterial road in West Delhi, India, connecting several key residential and commercial areas.
-
E.
Ganeshkhind Road
Ganeshkhind Road is a major thoroughfare in Pune, India, known for passing through the city’s university area and connecting key educational and administrative hubs.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6407c52c081908704d3a4dd6e853b |
completed | April 20, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:43 p.m.