Triple
T11322587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harbour line (Mumbai Suburban Railway) |
E268128
|
entity |
| Predicate | servesStation |
P839
|
FINISHED |
| Object | Belapur CBD |
E948626
|
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: Belapur CBD | Statement: [Harbour line (Mumbai Suburban Railway), servesStation, Belapur CBD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belapur CBD Context triple: [Harbour line (Mumbai Suburban Railway), servesStation, Belapur CBD]
-
A.
Belapur
chosen
Belapur is a major suburban node in Navi Mumbai, India, known for its commercial centers, residential areas, and role as a key transport hub.
-
B.
Chembur
Chembur is a prominent suburban neighborhood in eastern Mumbai known for its residential areas, connectivity, and growing commercial and industrial presence.
-
C.
Colaba
Colaba is a prominent coastal neighborhood in South Mumbai known for its historic architecture, bustling markets, and major landmarks along the Arabian Sea.
-
D.
Bhandup
Bhandup is a suburban residential and industrial locality in the northeastern part of Mumbai, India.
-
E.
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.
- 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_69f6684574908190bd7e3d1a7dd6d876 |
completed | May 2, 2026, 9:10 p.m. |
Created at: April 8, 2026, 9:32 p.m.