Triple

T21141748
Position Surface form Disambiguated ID Type / Status
Subject Glenesk E520947 entity
Predicate hasSettlement P1068 FINISHED
Object Tarfside 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: Tarfside | Statement: [Glenesk, hasSettlement, Tarfside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarfside
Context triple: [Glenesk, hasSettlement, Tarfside]
  • A. Tarfside chosen
    Tarfside is a small rural village in Glen Esk in the Angus region of Scotland, known for its scenic Highland landscape and outdoor recreation opportunities.
  • B. Trembowla
    Trembowla is a historic town in western Ukraine, known for its medieval castle and its past significance within the Polish–Lithuanian Commonwealth.
  • C. Brithombar
    Brithombar is a coastal harbour settlement in J.R.R. Tolkien’s legendarium, located on the shores of Beleriand in Middle-earth.
  • D. Towyn
    Towyn is a coastal town in Gwynedd, Wales, known historically as a seaside resort and for its proximity to the Dysynni Valley and the Cambrian Coast railway.
  • E. Towyn
    Towyn is a coastal town in North Wales known for its holiday parks, caravan sites, and seaside tourism.
  • 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_69e0b50c6a848190a4e525a77a319b8a completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e723f96cf081909d10309e08aeca93 completed April 21, 2026, 7:15 a.m.
Created at: April 16, 2026, 2:57 p.m.