Triple
T8563621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Delhi district |
E202747
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Ashoka Road |
E545548
|
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: Ashoka Road | Statement: [New Delhi district, contains, Ashoka Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ashoka Road Context triple: [New Delhi district, contains, Ashoka Road]
-
A.
Ashoka Road
chosen
Ashoka Road is a prominent thoroughfare in New Delhi, India, known for housing key government and administrative buildings.
-
B.
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.
-
C.
Raate Road
Raate Road is a historically significant road in eastern Finland, best known as the site of a major Winter War battle between Finnish and Soviet forces in 1940.
-
D.
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.
-
E.
Jawaharlal Nehru Road
Jawaharlal Nehru Road is a major thoroughfare in central Kolkata, India, known for its historic landmarks, commercial activity, and cultural institutions.
- 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_69ca8326e6c881908ff720d6abaebdc5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe9cfc4a48190ae4530d3614d115f |
completed | March 31, 2026, 3:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebb84a6988190ba6852f72c8918ca |
completed | April 2, 2026, 6:55 p.m. |
Created at: March 30, 2026, 6:20 p.m.