Triple

T10946588
Position Surface form Disambiguated ID Type / Status
Subject Brașov County E258611 entity
Predicate hasTown P847 FINISHED
Object Codlea E895643 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: Codlea | Statement: [Brașov County, hasTown, Codlea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Codlea
Context triple: [Brașov County, hasTown, Codlea]
  • A. Codlea chosen
    Codlea is a town in central Romania known for its historical Saxon heritage and location near the city of Brașov.
  • B. Crenna
    Crenna is a surname most notably associated with American actor and director Richard Crenna, known for his roles in film and television from the mid-20th century onward.
  • C. Stryama
    Stryama is a river in Bulgaria that flows through the central part of the country before joining the Maritsa River.
  • D. Clusone
    Clusone is a historic town in northern Italy known for its medieval architecture and frescoes, located in the Lombardy region.
  • E. Clelles
    Clelles is a small commune in southeastern France’s Isère department, known as a gateway village to the Vercors Massif and the iconic Mont Aiguille.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770eaaea08190b06e508600d8a305 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d733f7d88190b45df5c155ff5a46 completed April 18, 2026, 12:58 a.m.
Created at: April 8, 2026, 9:23 p.m.