Triple

T7377135
Position Surface form Disambiguated ID Type / Status
Subject Ross-shire E170154 entity
Predicate containsSettlement P847 FINISHED
Object Tain E127900 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: Tain | Statement: [Ross-shire, containsSettlement, Tain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tain
Context triple: [Ross-shire, containsSettlement, 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. Tainaste
    Tainaste is a small settlement located in the Middle Atlas region of Morocco, near the mountain Jbel Bou Naceur.
  • C. 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.
  • D. 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.
  • E. Tura
    Tura is a district in southern Cairo, Egypt, historically known for its limestone quarries used in ancient Egyptian monuments.
  • 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_69c68a5bfaac81909ce7f001dfb70c76 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1a8b18c8190ad1a19521eda2319 completed March 27, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802d15a8481908e43701459607276 completed March 28, 2026, 4:33 p.m.
Created at: March 27, 2026, 3:07 p.m.