Triple

T15568164
Position Surface form Disambiguated ID Type / Status
Subject Ansião E374168 entity
Predicate belongsTo P35 FINISHED
Object NUTS2 Centro E816316 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: NUTS2 Centro | Statement: [Ansião, belongsTo, NUTS2 Centro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NUTS2 Centro
Context triple: [Ansião, belongsTo, NUTS2 Centro]
  • A. Centrale
    Centrale is a prestigious French engineering school renowned for its rigorous scientific curriculum and role in training elite engineers and industry leaders.
  • B. Centrale
    Centrale is a major shopping centre located in the London Borough of Croydon, featuring a wide range of retail stores and services.
  • C. Centro chosen
    Centro is a NUTS 2 statistical region in central Portugal that includes areas such as Aveiro and Coimbra.
  • D. Centro
    Centro is a municipality in the Mexican state of Tabasco whose administrative center is the city of Villahermosa.
  • E. Centro
    Centro was the former public transport authority for the West Midlands metropolitan area in England, responsible for coordinating local bus, rail, and tram services before being succeeded by Transport for West Midlands.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04dde90b081908284d9258d4462e3 completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4219a081909acca9f783ecd44b completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:10 a.m.