Triple
T11925638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dadar |
E283774
|
entity |
| Predicate | hasSuburb |
P747
|
FINISHED |
| Object | Dadar West |
E283774
|
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: Dadar West | Statement: [Dadar, hasSuburb, Dadar West]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dadar West Context triple: [Dadar, hasSuburb, Dadar West]
-
A.
Dadar
chosen
Dadar is a major commercial and residential neighborhood in central Mumbai, India, known as a key transit hub and marketplace in the city.
-
B.
Powai
Powai is a prominent suburban neighborhood in Mumbai, India, known for Powai Lake, major residential and commercial developments, and the Indian Institute of Technology Bombay.
-
C.
Borivali
Borivali is a suburban residential and commercial neighborhood in the northwestern part of Mumbai, India, known for its connectivity and proximity to the Sanjay Gandhi National Park.
-
D.
Kurla
Kurla is a densely populated suburban neighborhood in Mumbai, India, known as a major residential, commercial, and transport hub of the city.
-
E.
Goregaon
Goregaon is a prominent suburban neighborhood in Mumbai, India, known for its residential complexes, film and television studios, and growing commercial hubs.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e8e3ff308190851ce656286bc67e |
completed | April 10, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f66849ba888190a50c5a5fcdb935e0 |
completed | May 2, 2026, 9:10 p.m. |
Created at: April 8, 2026, 9:45 p.m.