Triple

T7753984
Position Surface form Disambiguated ID Type / Status
Subject Sibi Railway Station E175842 entity
Predicate connectsTo P845 FINISHED
Object Chaman E160472 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: Chaman | Statement: [Sibi Railway Station, connectsTo, Chaman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chaman
Context triple: [Sibi Railway Station, connectsTo, Chaman]
  • A. Chaman chosen
    Chaman is a Pakistani border town in Balochistan that serves as a major transit point for trade and travel between Pakistan and Afghanistan.
  • B. Mirzam
    Mirzam is a bright blue-white giant star in the constellation Canis Major, known as one of the prominent stars near Sirius in the winter sky.
  • C. Shimsha
    Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
  • D. Chaghcharan
    Chaghcharan is a city in western Afghanistan that serves as the capital of Ghor Province and an important regional administrative and commercial center.
  • E. Dhaman
    Dhaman is a regional Arab multilateral institution that promotes and guarantees investment and trade in Arab countries by providing political and commercial risk insurance and related services.
  • 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_69c6996180088190832e38e8d83ff54a completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703d851d4819091e9117d3f34cb9a completed March 27, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be5dbf5881908d07d70c8ae061a5 completed March 29, 2026, 5:53 a.m.
Created at: March 27, 2026, 4:08 p.m.