Triple

T13201028
Position Surface form Disambiguated ID Type / Status
Subject Province of Madrid E314239 entity
Predicate contains P35 FINISHED
Object Parla E95405 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: Parla | Statement: [Province of Madrid, contains, Parla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parla
Context triple: [Province of Madrid, contains, Parla]
  • A. Parla chosen
    Parla is a suburban municipality and residential town located in the southern metropolitan area of Madrid, Spain.
  • B. Neapoli
    Neapoli is a small town in eastern Crete, Greece, known for its traditional architecture and role as a local administrative and cultural center.
  • C. Conversano
    Conversano is a historic hilltop town in the Apulia region of southern Italy, known for its medieval castle, Romanesque cathedral, and traditional white-stone architecture.
  • D. Brindisini
    Brindisini are the inhabitants or natives of Brindisi, a historic port city in the Apulia region of southern Italy.
  • E. Fasano
    Fasano is a historic town and popular tourist destination in the Apulia region of southern Italy, known for its whitewashed old center, nearby trulli houses, and coastal resorts.
  • 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c6591d881909a6ebc22246caead completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff1a3d68819089ad35f8f9ff5c5a completed May 3, 2026, 7:54 a.m.
Created at: April 9, 2026, 9:16 p.m.