Triple
T11321425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tulsi Lake |
E268101
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Borivali |
E274831
|
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: Borivali | Statement: [Tulsi Lake, locatedNear, Borivali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Borivali Context triple: [Tulsi Lake, locatedNear, Borivali]
-
A.
Borivali
chosen
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.
-
B.
Bandra
Bandra is a prominent coastal suburb of Mumbai known for its upscale neighborhoods, vibrant nightlife, historic churches, and seaside promenades.
-
C.
Andheri
Andheri is a major residential, commercial, and transport hub in Mumbai, India, known for its busy railway station, metro connectivity, and proximity to the city’s airports and film industry areas.
-
D.
Bhandup
Bhandup is a suburban residential and industrial locality in the northeastern part of Mumbai, India.
-
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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9dff37081909622623e66e17ccd |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e8b19b1c8190bc9147a9fc73e35b |
completed | April 20, 2026, 8:49 a.m. |
Created at: April 8, 2026, 9:32 p.m.