Triple

T17725715
Position Surface form Disambiguated ID Type / Status
Subject N9 national route E442455 entity
Predicate passesThroughTown P10456 FINISHED
Object Willowmore 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: Willowmore | Statement: [N9 national route, passesThroughTown, Willowmore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Willowmore
Context triple: [N9 national route, passesThroughTown, Willowmore]
  • A. Willowmore chosen
    Willowmore is a small rural town in South Africa’s Eastern Cape province, known as a gateway to the Baviaanskloof wilderness area.
  • B. Willowvale
    Willowvale is a South African town historically recognized as the royal and political center of the Xhosa kingdom.
  • C. Elfstone
    Elfstone is an honorific name given to Aragorn, the Dúnedain ranger who becomes King Elessar in J.R.R. Tolkien’s Middle-earth legendarium.
  • D. Winterbrook
    Winterbrook is a small area in Oxfordshire, England, best known as the longtime home and place of death of famed mystery writer Agatha Christie.
  • E. Fitzwilly
    Fitzwilly is a 1967 comedy film starring Dick Van Dyke as a butler who masterminds elaborate thefts to support his employer’s fading fortune.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47489c59c8190bbffefad20dc6346 completed April 19, 2026, 6:22 a.m.
Created at: April 10, 2026, 10:07 a.m.