Triple

T2948990
Position Surface form Disambiguated ID Type / Status
Subject Southern Scotland E79571 entity
Predicate hasSettlement P1068 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: [Southern Scotland, hasSettlement, Moffat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moffat
Context triple: [Southern Scotland, hasSettlement, 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. Fosby
    Fosby is a settlement that serves as the main local hub and seat of administration for the surrounding Aremark area in Norway.
  • C. Ramsay
    Ramsay is a Scottish-origin surname borne by numerous notable figures in British history, including military leaders, politicians, and artists.
  • D. Nigel
    Nigel is the villainous, vengeful cockatoo who serves as the primary antagonist in the animated film Rio 2.
  • E. Nigel
    Nigel is a masculine given name of English origin, historically derived from the Latin name Nigellus and commonly used in the UK and other English-speaking countries.
  • 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98b6cab88190b4dee7e5ec9347e5 completed March 8, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f3434088190b20889c4e68a9361 completed March 12, 2026, 12:56 a.m.
Created at: March 8, 2026, 2:57 p.m.