Triple

T6123426
Position Surface form Disambiguated ID Type / Status
Subject Crato E136535 entity
Predicate hasUrbanArea P316 FINISHED
Object Crato urban center E572026 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: Crato urban center | Statement: [Crato, hasUrbanArea, Crato urban center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crato urban center
Context triple: [Crato, hasUrbanArea, Crato urban center]
  • A. Crato (urban area) chosen
    Crato (urban area) is the main town and administrative center of the municipality of Crato in Portugal.
  • B. Capelas
    Capelas is a civil parish on the north coast of São Miguel Island in the Azores, Portugal, known historically for its whaling and coastal scenery.
  • C. Ciudad Serdán
    Ciudad Serdán is a town in the Mexican state of Puebla, known as a gateway community to the nearby Pico de Orizaba volcano and surrounding highland region.
  • D. Nova Sintra
    Nova Sintra is the main town and administrative center of the island of Brava in Cape Verde, known for its colonial architecture and mountainous setting.
  • E. Vila Verde
    Vila Verde is a municipality in the Braga District of northern Portugal, known for its rural landscapes and traditional Minho culture.
  • 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_69c0089f851c81909e5e189a617dcff6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05c25976081909e0a40e07dff0b8a completed March 22, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c14165f3e88190903120d4b2ff6189 completed March 23, 2026, 1:34 p.m.
Created at: March 22, 2026, 4:14 p.m.