Triple

T6323015
Position Surface form Disambiguated ID Type / Status
Subject A701 road E141789 entity
Predicate passesThrough P225 FINISHED
Object Moffat E304723 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: Moffat | Statement: [A701 road, passesThrough, Moffat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moffat
Context triple: [A701 road, passesThrough, Moffat]
  • A. Moffat chosen
    Moffat is a small spa town in Dumfries and Galloway, Scotland, historically known for its wool trade and as a popular tourist destination in the Southern Uplands.
  • B. Tennant
    Tennant is a British surname borne by various notable figures in the arts, sciences, and public life.
  • C. Fosby
    Fosby is a settlement that serves as the main local hub and seat of administration for the surrounding Aremark area in Norway.
  • D. Ramsay
    Ramsay is a Scottish-origin surname borne by numerous notable figures in British history, including military leaders, politicians, and artists.
  • E. Poots
    Poots is the surname of Imogen Poots, an English actress known for her roles in films such as "28 Weeks Later" and "Green Room."
  • 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_69c008d201748190917e69c41ba3f978 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064e38f1c81909c7e90b520602bae completed March 22, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e490472c8190b4ecc935bf03d01e completed March 27, 2026, 1:59 a.m.
Created at: March 22, 2026, 4:29 p.m.