Triple

T12859387
Position Surface form Disambiguated ID Type / Status
Subject The Limits of Control E307543 entity
Predicate filmingLocation P40 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: [The Limits of Control, filmingLocation, Almería]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Almería
Context triple: [The Limits of Control, filmingLocation, 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. Jumilla
    Jumilla is a Spanish wine region in the province of Murcia, renowned for its robust red wines, particularly those made from the Mourvèdre (Monastrell) grape.
  • D. 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.
  • E. Jaén
    Jaén is a province in southern Spain’s Andalusia region, renowned for its vast olive groves and historic Renaissance towns.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970242bd48190941cbae0315ebc3d completed April 10, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8cb31dc8190a0dd03ab600d615c completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 5:37 p.m.