Triple
T11321918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harbour Line |
E268113
|
entity |
| Predicate | hasMajorStation |
P1071
|
FINISHED |
| Object |
Sewri
Sewri is a neighborhood in Mumbai, India, known for its railway station on the city’s suburban network and its location along the eastern waterfront.
|
E921195
|
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: Sewri | Statement: [Harbour Line, hasMajorStation, Sewri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sewri Context triple: [Harbour Line, hasMajorStation, Sewri]
-
A.
Dalgaon
Dalgaon is a town and administrative center located in the Darrang district of the northeastern Indian state of Assam.
-
B.
Tarapur
Tarapur is a town in the Anand district of Gujarat, India, known as a local commercial and agricultural center.
-
C.
Navalgund
Navalgund is a town in the Indian state of Karnataka known for its traditional handloom cotton and silk sarees, especially the distinctive Navalgund durries.
-
D.
Sindhudurg
Sindhudurg is a coastal district in Maharashtra, India, renowned for its historic sea fort, beaches, and scenic Konkan landscape.
-
E.
Karwar
Karwar is a coastal city in the Indian state of Karnataka, known for its beaches, port, and role as a key urban center in the Konkan region.
- 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: Sewri Triple: [Harbour Line, hasMajorStation, Sewri]
Generated description
Sewri is a neighborhood in Mumbai, India, known for its railway station on the city’s suburban network and its location along the eastern waterfront.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sewri Target entity description: Sewri is a neighborhood in Mumbai, India, known for its railway station on the city’s suburban network and its location along the eastern waterfront.
-
A.
Dalgaon
Dalgaon is a town and administrative center located in the Darrang district of the northeastern Indian state of Assam.
-
B.
Tarapur
Tarapur is a town in the Anand district of Gujarat, India, known as a local commercial and agricultural center.
-
C.
Navalgund
Navalgund is a town in the Indian state of Karnataka known for its traditional handloom cotton and silk sarees, especially the distinctive Navalgund durries.
-
D.
Sindhudurg
Sindhudurg is a coastal district in Maharashtra, India, renowned for its historic sea fort, beaches, and scenic Konkan landscape.
-
E.
Karwar
Karwar is a coastal city in the Indian state of Karnataka, known for its beaches, port, and role as a key urban center in the Konkan region.
- 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_69e5563dc9c881908d17a061e6071d2c |
completed | April 19, 2026, 10:25 p.m. |
| NEDg | Description generation | batch_69e562bb085c8190942766d12d838798 |
completed | April 19, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e569f0e6948190b285ca84aca03771 |
completed | April 19, 2026, 11:49 p.m. |
Created at: April 8, 2026, 9:32 p.m.