Triple

T2711602
Position Surface form Disambiguated ID Type / Status
Subject Alwar E59873 entity
Predicate formerName P65 FINISHED
Object Ulwar E281916 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: Ulwar | Statement: [Alwar, formerName, Ulwar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ulwar
Context triple: [Alwar, formerName, Ulwar]
  • A. Gulval
    Gulval is a small village in Cornwall, England, situated just outside the town of Penzance and known for its historic church and rural character.
  • B. Godwari
    Godwari is a regional Indo-Aryan dialect spoken in parts of Rajasthan, India, known for its close affinity to other Marwari-related speech varieties.
  • C. Rishra
    Rishra is an industrial town and municipal area in the Hooghly district of West Bengal, India, known for its jute mills and proximity to Kolkata along the Hooghly River.
  • D. Umaria
    Umaria is a town and district headquarters in the central Indian state of Madhya Pradesh, known as a gateway to the nearby Bandhavgarh National Park.
  • E. Dausa chosen
    Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
  • 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_69ab4ac92a088190bc74bca14038e3de completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda78c4f08190bb1217f08198c4cc completed March 7, 2026, 7:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf83e37c8190b7a7815f8acf3a4b completed March 10, 2026, 5:43 a.m.
Created at: March 6, 2026, 9:55 p.m.