Triple
T9768251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shibpur |
E237052
|
entity |
| Predicate | hasRoad |
P959
|
FINISHED |
| Object | G. T. Road (Howrah) |
E641047
|
NE FINISHED |
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: G. T. Road (Howrah) | Statement: [Shibpur, hasRoad, G. T. Road (Howrah)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: G. T. Road (Howrah) Context triple: [Shibpur, hasRoad, G. T. Road (Howrah)]
-
A.
Barrackpore Trunk Road
chosen
Barrackpore Trunk Road is one of the oldest and busiest arterial roads in the Kolkata metropolitan area, connecting the city with its northern suburbs and industrial towns.
-
B.
Najafgarh Road
Najafgarh Road is a major arterial road in West Delhi, India, connecting several key residential and commercial areas.
-
C.
I.I. Chundrigar Road
I.I. Chundrigar Road is Karachi’s principal financial and commercial artery, lined with major banks, corporate offices, and key institutions.
-
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.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca84d831b8819090322686b47887ce |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda0a2da648190836916a45d2998d7 |
completed | April 1, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bd05f2588190ab413d26342aa70f |
completed | April 5, 2026, 1:38 a.m. |
Created at: March 30, 2026, 8:25 p.m.