Triple
T11322544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central line (Mumbai Suburban Railway) |
E268127
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Ambarnath |
E710071
|
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: Ambarnath | Statement: [Central line (Mumbai Suburban Railway), hasStation, Ambarnath]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ambarnath Context triple: [Central line (Mumbai Suburban Railway), hasStation, Ambarnath]
-
A.
Ambarnath
chosen
Ambarnath is a suburban city in the Thane district of Maharashtra, India, known for its historic Shiva temple and its role as a residential and industrial hub near Mumbai.
-
B.
Baijnath
Baijnath is a historic town in Himachal Pradesh, India, renowned for its ancient Shiva temple and scenic Himalayan surroundings.
-
C.
Mukteshwar
Mukteshwar is a scenic hill town in Uttarakhand, India, known for its panoramic Himalayan views, fruit orchards, and tranquil forests.
-
D.
Rudrapur
Rudrapur is a town in the Indian state of Uttar Pradesh, known as a local commercial and agricultural center in the region.
-
E.
Bageshwar
Bageshwar is a town and district headquarters in the Kumaon region of Uttarakhand, India, known for its religious significance and scenic Himalayan surroundings.
- 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_69e525ed950081908ec94cfbf8849e85 |
completed | April 19, 2026, 6:58 p.m. |
Created at: April 8, 2026, 9:32 p.m.