Triple

T15447538
Position Surface form Disambiguated ID Type / Status
Subject Dettmar Cramer E370062 entity
Predicate managedClub P3239 FINISHED
Object Las Palmas E30358 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: Las Palmas | Statement: [Dettmar Cramer, managedClub, Las Palmas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Las Palmas
Context triple: [Dettmar Cramer, managedClub, Las Palmas]
  • A. Las Palmas de Gran Canaria chosen
    Las Palmas de Gran Canaria is a major Spanish port city on the island of Gran Canaria, known for its historic old town, urban beaches, and role as an economic and cultural hub of the Canary Islands.
  • B. 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.
  • C. Malaga
    Malaga is a white wine grape variety name historically used as a synonym for Sémillon in certain wine-growing regions.
  • D. Palma de Mallorca
    Palma de Mallorca is the historic coastal city and major tourist destination that serves as the political, cultural, and economic center of Spain’s Balearic Islands.
  • E. Palma
    Palma is a coastal town in northern Mozambique’s Cabo Delgado Province, known for its proximity to major offshore natural gas projects and for being heavily affected by recent insurgent violence.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ef767b4819099f2c0919a158321 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff9085d388819092be2fd8a0268e23 completed May 9, 2026, 7:52 p.m.
Created at: April 10, 2026, 3:21 a.m.