Triple

T16062385
Position Surface form Disambiguated ID Type / Status
Subject Hisar Lok Sabha constituency E389642 entity
Predicate hasAssemblySegment P121483 FINISHED
Object Tohana E1201002 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: Tohana | Statement: [Hisar Lok Sabha constituency, hasAssemblySegment, Tohana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tohana
Context triple: [Hisar Lok Sabha constituency, hasAssemblySegment, Tohana]
  • A. Tohana chosen
    Tohana is a town and municipal council in the Fatehabad district of the Indian state of Haryana, known as an agricultural and trading center in the region.
  • B. Shinasha
    Shinasha is a North Omotic language spoken by the Shinasha people of western Ethiopia.
  • C. Takabisha
    Takabisha is a record-breaking steel roller coaster in Japan renowned for its extremely steep drop and intense thrill elements.
  • D. Shinkiari
    Shinkiari is a town in Pakistan’s Khyber Pakhtunkhwa province, known for its agricultural surroundings and its location along the Karakoram Highway near Mansehra.
  • E. Takanot
    Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e21a00f6808190a60939ef7ce727a7 completed April 17, 2026, 11:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a000ec4d9808190a3d1bfc8f3d73168 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 4:57 a.m.