Triple

T10945593
Position Surface form Disambiguated ID Type / Status
Subject Holy Isle (Firth of Clyde) E258588 entity
Predicate nearbySettlement P350 FINISHED
Object Lamlash E123811 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: Lamlash | Statement: [Holy Isle (Firth of Clyde), nearbySettlement, Lamlash]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lamlash
Context triple: [Holy Isle (Firth of Clyde), nearbySettlement, Lamlash]
  • A. Lamlash chosen
    Lamlash is a coastal village and the largest settlement on the Isle of Arran in Scotland, known for its scenic bay facing Holy Isle.
  • B. Yalama
    Yalama is a village and municipality located in the Khachmaz District of northeastern Azerbaijan, near the border with Russia.
  • C. Banlam
    Banlam is an alternative name for the Minnan language, a major Sinitic language variety spoken primarily in southern Fujian, Taiwan, and among overseas Chinese communities in Southeast Asia.
  • D. Yalamlam
    Yalamlam is a mountainous area in western Saudi Arabia that serves as one of the designated entry points (miqats) where pilgrims intending Hajj or Umrah enter the state of ihram.
  • E. Lelylaan
    Lelylaan is a transport hub and railway/metro station in Amsterdam’s Nieuw-West district, connecting metro, train, tram, and bus services.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770e9a89081908979efd1d9e6af66 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23c3c885081908edcece772b2e759 completed April 17, 2026, 1:57 p.m.
Created at: April 8, 2026, 9:23 p.m.