Triple

T3972247
Position Surface form Disambiguated ID Type / Status
Subject Lifehouse E92360 entity
Predicate notableWork P4 FINISHED
Object Almería E66860 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: Almería | Statement: [Lifehouse, notableWork, Almería]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Almería
Context triple: [Lifehouse, notableWork, Almería]
  • A. Almería chosen
    Almería is a coastal city and province in southeastern Spain known for its arid climate, historic Alcazaba fortress, and extensive greenhouse agriculture.
  • B. Almeria
    Almeria is a coastal municipality on Biliran Island in the Philippines known for its scenic beaches and rural landscapes.
  • C. Málaga
    Málaga is a historic port city on Spain’s Costa del Sol, renowned for its Mediterranean beaches, rich Andalusian culture, and as the birthplace of artist Pablo Picasso.
  • D. Jaén
    Jaén is a province in southern Spain’s Andalusia region, renowned for its vast olive groves and historic Renaissance towns.
  • E. Murcia
    Murcia is a historic city and region in southeastern Spain, known for its fertile agricultural plain, baroque architecture, and role as a former frontier territory between Christian and Muslim realms on the Iberian Peninsula.
  • 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef996ff6c8190ba8cc490e4744b95 completed March 9, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5c69987881908dc2b6286fec73c2 completed March 21, 2026, 8:52 a.m.
Created at: March 9, 2026, 3:32 p.m.