Triple

T14937878
Position Surface form Disambiguated ID Type / Status
Subject Morbi district E372442 entity
Predicate hasNotableTown P14082 FINISHED
Object Wankaner E533688 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: Wankaner | Statement: [Morbi district, hasNotableTown, Wankaner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wankaner
Context triple: [Morbi district, hasNotableTown, Wankaner]
  • A. Wankaner chosen
    Wankaner is a historic town in Gujarat, India, known for its former princely-state status under the Jhala Rajput rulers and its notable royal palaces.
  • B. Wanhatti
    Wanhatti is a village in Suriname known as a Maroon settlement located within the country’s eastern Marowijne District.
  • C. Kuwarra
    Kuwarra is an Australian Aboriginal language variety spoken by Indigenous communities in the Western Desert region.
  • D. Warakurna
    Warakurna is a remote Indigenous community in Western Australia, located within the Shire of Ngaanyatjarraku near the border with the Northern Territory.
  • E. Kupwara
    Kupwara is a town in the northern part of Jammu and Kashmir, India, known as a gateway to scenic valleys and forests near the Line of Control.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded64904d88190b6b4140da8e8199d completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bd69df481908d8b1a5e6add0a7b completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:38 a.m.