Triple

T15125287
Position Surface form Disambiguated ID Type / Status
Subject Glenboig E361270 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Muirhead E172434 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: Muirhead | Statement: [Glenboig, hasNearbySettlement, Muirhead]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muirhead
Context triple: [Glenboig, hasNearbySettlement, Muirhead]
  • A. Muirhead
    Muirhead is a Scottish surname, historically associated with families from areas characterized by moorland or "muir" landscapes.
  • B. Muirhead chosen
    Muirhead is a small village in North Lanarkshire, Scotland, situated near Glasgow and known primarily as a residential commuter community.
  • C. Muirhead
    Muirhead is a small village in the Angus council area of Scotland, known for its residential character and proximity to Dundee.
  • D. MacMahon
    MacMahon is a French noble family name most prominently associated with Patrice de MacMahon, a 19th-century Marshal of France and President of the French Third Republic.
  • E. Schur
    Schur is a surname most prominently associated with Michael Schur, the American television writer and producer known for creating and co-creating acclaimed comedy series such as Parks and Recreation and The Good Place.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005a0c6888190840de4ead2306544 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7f67f6c81909723c13255306668 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:06 a.m.