Triple
T2460019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salsette Island |
E54511
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Vikhroli |
E274832
|
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: Vikhroli | Statement: [Salsette Island, contains, Vikhroli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vikhroli Context triple: [Salsette Island, contains, Vikhroli]
-
A.
Bhandup
Bhandup is a suburban residential and industrial locality in the northeastern part of Mumbai, India.
-
B.
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.
-
C.
Bandra
Bandra is a prominent coastal suburb of Mumbai known for its upscale neighborhoods, vibrant nightlife, historic churches, and seaside promenades.
-
D.
Thane
Thane is a major city in western India known for its numerous lakes and its proximity to Mumbai.
-
E.
Kurla
chosen
Kurla is a densely populated suburban neighborhood in Mumbai, India, known as a major residential, commercial, and transport hub of the city.
- 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd10ba66481909580e994b22fd406 |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af906499688190a21984590b8caadc |
completed | March 10, 2026, 3:30 a.m. |
Created at: March 6, 2026, 9:44 p.m.