Triple
T8639318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okhla Industrial Area |
E204601
|
entity |
| Predicate | transportAccess |
P1288
|
FINISHED |
| Object | Mathura Road |
E111282
|
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: Mathura Road | Statement: [Okhla Industrial Area, transportAccess, Mathura Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mathura Road Context triple: [Okhla Industrial Area, transportAccess, 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.
Najafgarh Road
Najafgarh Road is a major arterial road in West Delhi, India, connecting several key residential and commercial areas.
-
C.
Bhogal Road
Bhogal Road is a local thoroughfare in the Bhogal area of New Delhi, India, known for its residential neighborhoods and small markets.
-
D.
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.
-
E.
Jamshed Road
Jamshed Road is a major thoroughfare in Karachi, Pakistan, running through the Jamshed Town area and linking key commercial and residential neighborhoods.
- 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_69ca834ca1c88190a11ffb0200342fac |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc47650a14819094855aa8d062ebbc |
completed | March 31, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ceccaa77688190bbcf3fbd6af7c195 |
completed | April 2, 2026, 8:08 p.m. |
Created at: March 30, 2026, 6:28 p.m.