Triple
T11321900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harbour Line |
E268113
|
entity |
| Predicate | hasTerminus |
P388
|
FINISHED |
| Object |
Belapur
Belapur is a major suburban node in Navi Mumbai, India, known for its commercial centers, residential areas, and role as a key transport hub.
|
E948626
|
NE FINISHED |
How this triple was built (4 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 | Statement: [Harbour Line, hasTerminus, Belapur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belapur Context triple: [Harbour Line, hasTerminus, Belapur]
-
A.
Ghatkopar
Ghatkopar is a densely populated residential and commercial suburb in eastern Mumbai, known for its bustling markets, connectivity, and vibrant Gujarati community.
-
B.
Bhandup
Bhandup is a suburban residential and industrial locality in the northeastern part of Mumbai, India.
-
C.
Chembur
Chembur is a prominent suburban neighborhood in eastern Mumbai known for its residential areas, connectivity, and growing commercial and industrial presence.
-
D.
Vikhroli
Vikhroli is a suburban neighborhood in Mumbai known for its residential areas, industrial estates, and proximity to major transport links.
-
E.
Kalyan-Dombivli
Kalyan-Dombivli is a major twin-city and residential-industrial hub in the Thane district of Maharashtra, forming an important suburban cluster near Mumbai.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Belapur Triple: [Harbour Line, hasTerminus, Belapur]
Generated description
Belapur is a major suburban node in Navi Mumbai, India, known for its commercial centers, residential areas, and role as a key transport hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Belapur Target entity description: Belapur is a major suburban node in Navi Mumbai, India, known for its commercial centers, residential areas, and role as a key transport hub.
-
A.
Ghatkopar
Ghatkopar is a densely populated residential and commercial suburb in eastern Mumbai, known for its bustling markets, connectivity, and vibrant Gujarati community.
-
B.
Bhandup
Bhandup is a suburban residential and industrial locality in the northeastern part of Mumbai, India.
-
C.
Chembur
Chembur is a prominent suburban neighborhood in eastern Mumbai known for its residential areas, connectivity, and growing commercial and industrial presence.
-
D.
Vikhroli
Vikhroli is a suburban neighborhood in Mumbai known for its residential areas, industrial estates, and proximity to major transport links.
-
E.
Kalyan-Dombivli
Kalyan-Dombivli is a major twin-city and residential-industrial hub in the Thane district of Maharashtra, forming an important suburban cluster near Mumbai.
- F. None of above. chosen
Provenance (5 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_69f12fa07fc081909a42f9c19ad38511 |
completed | April 28, 2026, 10:07 p.m. |
| NEDg | Description generation | batch_69f138b5f8988190a7ff95095eafd0b1 |
completed | April 28, 2026, 10:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f14e9b30a88190a054961a2f7fc80d |
completed | April 29, 2026, 12:19 a.m. |
Created at: April 8, 2026, 9:32 p.m.