Triple

T12854442
Position Surface form Disambiguated ID Type / Status
Subject Tarn Taran E307411 entity
Predicate hasRailwayStation P918 FINISHED
Object Tarn Taran railway station E463879 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: Tarn Taran railway station | Statement: [Tarn Taran, hasRailwayStation, Tarn Taran railway station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarn Taran railway station
Context triple: [Tarn Taran, hasRailwayStation, Tarn Taran railway station]
  • A. Tarn Taran Junction chosen
    Tarn Taran Junction is a railway station serving as a key rail hub for the town and surrounding areas of Tarn Taran district in Punjab, India.
  • B. Titagarh railway station
    Titagarh railway station is a suburban rail stop on the Sealdah–Ranaghat line in West Bengal, India, serving the local population of Titagarh and nearby areas.
  • C. Bala station
    Bala station is a regional rail stop in the Bala Cynwyd neighborhood of Philadelphia, Pennsylvania, served by SEPTA's Cynwyd Line.
  • D. Larkana Railway Station
    Larkana Railway Station is a key rail transport hub serving the city of Larkana in Sindh, Pakistan.
  • E. Beas railway station
    Beas railway station is a regional rail stop in Punjab, India, serving the town of Beas and nearby areas on the Amritsar–Delhi railway route.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97021df7481909cd42a0f72040aa5 completed April 10, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69ba79918819093e047ce22191923 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:37 p.m.