Triple

T16537927
Position Surface form Disambiguated ID Type / Status
Subject A16 motorway E401740 entity
Predicate passesNear P416 FINISHED
Object Abbeville E363952 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: Abbeville | Statement: [A16 motorway, passesNear, Abbeville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abbeville
Context triple: [A16 motorway, passesNear, Abbeville]
  • A. Abbeville chosen
    Abbeville is a historic town in northern France known for its medieval architecture and role as a gateway to the Bay of Somme.
  • B. Abbeville, Louisiana
    Abbeville, Louisiana is a small historic city and parish seat of Vermilion Parish known for its Cajun culture, cuisine, and proximity to the Gulf Coast wetlands.
  • C. Labbeville
    Labbeville is a small French commune located in the Val-d'Oise department in the Île-de-France region of northern France.
  • D. Maumont
    Maumont is a locality in France notable as the birthplace of Pope Gregory XI, the last Avignon pope.
  • E. Abbeville, South Carolina
    Abbeville, South Carolina is a small historic city in the Upstate region known for its well-preserved town square, antebellum architecture, and role in key events of the American Civil War.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34559ca948190a9eb810b9b3be079 completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067aafee48190a0652fb4fac04a5b completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:15 a.m.