Triple

T12186394
Position Surface form Disambiguated ID Type / Status
Subject Took family E290345 entity
Predicate region P40 FINISHED
Object Tookland E901230 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: Tookland | Statement: [Took family, region, Tookland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tookland
Context triple: [Took family, region, Tookland]
  • A. Tookland chosen
    Tookland is a region in J.R.R. Tolkien’s Middle-earth, known as the ancestral homeland of the adventurous Took family of hobbits within the Shire.
  • B. Thaton
    Thaton is an ancient city in southern Myanmar historically significant as a major center of the Mon kingdom and Theravada Buddhism in the region.
  • C. Kira Town
    Kira Town is a rapidly growing urban municipality in central Uganda that functions as a major residential and commercial suburb of Kampala.
  • D. Kilnsea
    Kilnsea is a small coastal village in the East Riding of Yorkshire, England, situated near the Spurn Peninsula at the mouth of the Humber Estuary.
  • E. Fjord City
    Fjord City is a major waterfront urban redevelopment initiative in Oslo, Norway, transforming former port and industrial areas into mixed-use districts with housing, culture, business, and public spaces along the Oslofjord.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d916012c2c819085824332ad60059e completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6aecb0881909084f3ff2a9e52ea completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.