Triple

T22774218
Position Surface form Disambiguated ID Type / Status
Subject Keld E563647 entity
Predicate civilParish P2739 FINISHED
Object Muker 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: Muker | Statement: [Keld, civilParish, Muker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muker
Context triple: [Keld, civilParish, Muker]
  • A. Muker chosen
    Muker is a small, picturesque village in Swaledale in the Yorkshire Dales, England, known for its traditional stone buildings, hay meadows, and scenic walking routes.
  • B. Mukerian
    Mukerian is a town and municipal council in the Indian state of Punjab, known for its strategic location near the Beas River and the Mukerian Hydel Project.
  • C. Moorkhun
    Moorkhun is a small village in northern Pakistan’s Hunza region, situated in the Gojal Valley near the Karakoram Highway and close to the China–Pakistan border.
  • D. Muher
    Muher is a Gurage language variety spoken in Ethiopia, known as one of the dialects of the Sebat Bet Gurage cluster within the Ethiosemitic language family.
  • E. Mukō
    Mukō is a city in Kyoto Prefecture, Japan, known for its residential character and proximity to the Kyoto metropolitan area.
  • 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_69e24554497c819080b996e071de27c2 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17b60eec48190b0aaf3eb7ede38d4 completed April 29, 2026, 3:30 a.m.
Created at: April 17, 2026, 3:27 p.m.