Triple
T4956061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mathura Road |
E111282
|
entity |
| Predicate | hasJunctionWith |
P1018
|
FINISHED |
| Object | Lodhi Road |
E394083
|
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: Lodhi Road | Statement: [Mathura Road, hasJunctionWith, Lodhi Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lodhi Road Context triple: [Mathura Road, hasJunctionWith, Lodhi Road]
-
A.
Lodhi Road
chosen
Lodhi Road is a major thoroughfare in New Delhi, India, known for its government offices, cultural institutions, and proximity to historic sites and green spaces.
-
B.
Akbar Road
Akbar Road is a prominent, historically significant thoroughfare in New Delhi that houses several important political offices and residences.
-
C.
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.
-
D.
Jawaharlal Nehru Road
Jawaharlal Nehru Road is a major thoroughfare in central Kolkata, India, known for its historic landmarks, commercial activity, and cultural institutions.
-
E.
Sohna Road
Sohna Road is a major commercial and residential corridor in Gurugram, India, known for its office complexes, malls, and rapidly developing urban infrastructure.
- 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_69bd4418390c8190b7e9766a2512ce55 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd71babb44819085b4cd4864433e79 |
completed | March 20, 2026, 4:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be89f639c081908658c1a228081dd9 |
completed | March 21, 2026, 12:07 p.m. |
Created at: March 20, 2026, 1:32 p.m.