Triple
T12563469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chanakyapuri |
E295407
|
entity |
| Predicate | roadNetworkIncludes |
P3374
|
FINISHED |
| Object | Niti Marg |
E487474
|
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: Niti Marg | Statement: [Chanakyapuri, roadNetworkIncludes, Niti Marg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niti Marg Context triple: [Chanakyapuri, roadNetworkIncludes, Niti Marg]
-
A.
Lok Kalyan Marg
Lok Kalyan Marg is a station on the Delhi Metro network located in central Delhi near key government and diplomatic areas.
-
B.
Sansad Marg
Sansad Marg is a prominent road in New Delhi that runs near the Indian Parliament and hosts several important government and commercial buildings.
-
C.
Shamnath Marg
Shamnath Marg is a notable road in the Kashmere Gate area of Delhi, India, known for its proximity to historic and commercial landmarks.
-
D.
Lal Bahadur Shastri Marg
Lal Bahadur Shastri Marg is a major arterial road in Mumbai, India, that runs through several eastern suburbs and serves as a key commuter and commercial route.
-
E.
Bhairon Marg
chosen
Bhairon Marg is a significant road in New Delhi, India, known for connecting key areas and providing access to major landmarks and transport routes.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95494ae1c81908b9ee14b8ef92a65 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6558da7e0819086860bfaf394e2d8 |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 11:49 p.m.