Triple

T19475230
Position Surface form Disambiguated ID Type / Status
Subject Whitland E487228 entity
Predicate hasNearbyTown P3883 FINISHED
Object St Clears 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: St Clears | Statement: [Whitland, hasNearbyTown, St Clears]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: St Clears
Context triple: [Whitland, hasNearbyTown, St Clears]
  • A. St Clears chosen
    St Clears is a small town and community in Carmarthenshire, Wales, known for its historic abbey remains and position near the River Taf.
  • B. Clearing
    "Clearing" is a large-scale photographic work by German artist Thomas Demand, known for its meticulously constructed paper model of a forest scene that blurs the line between reality and fabrication.
  • C. Clearing
    Clearing is a residential and industrial neighborhood on the southwest side of Chicago, known for encompassing and surrounding Midway International Airport.
  • D. In the Clear
    "In the Clear" is a song by American rock band Foo Fighters, featured on their 2014 album and TV project *Sonic Highways*.
  • E. Interface Clear
    Interface Clear is a company specializing in building automation and control systems, particularly focused on integrating and managing HVAC and related building technologies.
  • 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_69d8e8d924388190b847cb15bb3d0aff completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633f126988190890ff8e5730e4ad3 completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:39 p.m.