Triple

T16165308
Position Surface form Disambiguated ID Type / Status
Subject Sirsa district E392287 entity
Predicate hasMajorTown P316 FINISHED
Object Ellenabad E1197405 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: Ellenabad | Statement: [Sirsa district, hasMajorTown, Ellenabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ellenabad
Context triple: [Sirsa district, hasMajorTown, Ellenabad]
  • A. Ellenabad chosen
    Ellenabad is a town in the Indian state of Haryana that serves as a legislative assembly (Vidhan Sabha) constituency within the Sirsa district.
  • B. Yaseenabad
    Yaseenabad is a residential neighborhood located within the Federal B Area of Karachi, Pakistan.
  • C. Zainabadi
    Zainabadi refers to an ethnic group associated with Iran, particularly linked to the Golestan Province region.
  • D. Ittehad Town
    Ittehad Town is a residential neighborhood located in the SITE Town area of Karachi, Pakistan.
  • E. Hillah
    Hillah is a city in central Iraq on the Euphrates River, known as the modern settlement adjacent to the ruins of ancient Babylon.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21eb2a25c819095437b25e6ab83f3 completed April 17, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69fffef96a088190a1c1728288a9c4ef completed May 10, 2026, 3:43 a.m.
Created at: April 10, 2026, 5:02 a.m.