Triple
T16071039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rohtak Junction railway station |
E389859
|
entity |
| Predicate | connectedTo |
P37
|
FINISHED |
| Object | Fazilka |
E304505
|
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: Fazilka | Statement: [Rohtak Junction railway station, connectedTo, Fazilka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fazilka Context triple: [Rohtak Junction railway station, connectedTo, Fazilka]
-
A.
Fazilka
chosen
Fazilka is a town in the southwestern part of Punjab, India, near the India–Pakistan border, known for its agricultural economy and cultural ties to the Malwa region.
-
B.
Nakodar
Nakodar is a prominent town in the Indian state of Punjab, known for its historical significance and cultural heritage within the Jalandhar region.
-
C.
Baddi
Baddi is an industrial town in the Solan district of Himachal Pradesh, India, known for its large concentration of pharmaceutical and manufacturing units.
-
D.
Gurdaspur
Gurdaspur is a city in the northern Indian state of Punjab, known for its agricultural surroundings and proximity to the India–Pakistan border.
-
E.
Barwala
Barwala is a prominent town in the Hisar district of Haryana, India, known as a local commercial and administrative center for surrounding rural 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183be909c8190ac6c37ab047151ae |
completed | April 17, 2026, 12:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00077efdf48190ac26f433f6b17dbe |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 4:57 a.m.