Triple

T17628154
Position Surface form Disambiguated ID Type / Status
Subject Deoria district E429902 entity
Predicate borderingEntity P224 FINISHED
Object Siwan district NE NERFINISHED

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: Siwan district | Statement: [Deoria district, borderingEntity, Siwan district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siwan district
Context triple: [Deoria district, borderingEntity, Siwan district]
  • A. Siwan district chosen
    Siwan district is an administrative district in the Indian state of Bihar, known for its agrarian economy and historical association with prominent political leaders.
  • B. Sheohar district
    Sheohar district is a small administrative district in the Indian state of Bihar, known for its predominantly rural character and agrarian economy.
  • C. Zazi Maidan District
    Zazi Maidan District is an administrative district in eastern Afghanistan located within Khost Province, near the border with Pakistan.
  • D. Nagar District
    Nagar District is an administrative region in Gilgit-Baltistan, northern Pakistan, known for its mountainous terrain, glaciers, and strategic location along the Karakoram Highway.
  • E. Sairam District
    Sairam District is an administrative district in southern Kazakhstan known for its historical settlements and location within the South Kazakhstan Region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46dbe3a308190a818d04f1a9b15f7 completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 5:52 a.m.