Triple

T17818486
Position Surface form Disambiguated ID Type / Status
Subject Ross and Cromarty E444909 entity
Predicate contains P35 FINISHED
Object Tain 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: Tain | Statement: [Ross and Cromarty, contains, Tain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tain
Context triple: [Ross and Cromarty, contains, Tain]
  • A. Tain chosen
    Tain is a historic town in the Highlands of Scotland, known as one of the country’s oldest royal burghs and a regional administrative and judicial center.
  • B. Tainai
    Tainai is a city in northern Japan known for its rural landscapes, agriculture, and proximity to the Sea of Japan within Niigata Prefecture.
  • C. Tainaste
    Tainaste is a small settlement located in the Middle Atlas region of Morocco, near the mountain Jbel Bou Naceur.
  • D. Tullaghan
    Tullaghan is a small coastal village in northwest Ireland known for being the only seaside settlement in County Leitrim, situated along the Atlantic coast near the border with County Donegal.
  • E. Tura
    Tura is a prominent town in the Indian state of Meghalaya, serving as a major administrative, cultural, and economic center in the Garo Hills region.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e488812df081909771d51c54c405fe completed April 19, 2026, 7:47 a.m.
Created at: April 10, 2026, 10:14 a.m.