Triple
T19279259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North West Delhi district |
E482142
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Sultanpuri |
—
|
NE NERFINISHED |
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: Sultanpuri | Statement: [North West Delhi district, hasSettlement, Sultanpuri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sultanpuri Context triple: [North West Delhi district, hasSettlement, Sultanpuri]
-
A.
Muradnagar
Muradnagar is a town and municipal area in Uttar Pradesh, India, known for its proximity to Ghaziabad and its role as a local commercial and residential hub.
-
B.
Sikandarpur
Sikandarpur is a metro station in the Delhi Metro network that serves the Gurugram area and provides an interchange with the Rapid Metro system.
-
C.
Jahangirpuri
chosen
Jahangirpuri is a residential and commercial neighborhood in North West Delhi, India, known for its dense urban character and connectivity via the Delhi Metro.
-
D.
Sardarpur
Sardarpur is a town in the Dhar district of Madhya Pradesh, India, known as a local administrative and commercial center near the Sardarpur Wildlife Sanctuary.
-
E.
Shikohabad
Shikohabad is a city in the Indian state of Uttar Pradesh, known for its location along major road and rail routes and its role as a regional commercial center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbbf817c819098745ed365cda4a9 |
completed | April 20, 2026, 10:11 a.m. |
Created at: April 10, 2026, 1:30 p.m.