Triple

T14606506
Position Surface form Disambiguated ID Type / Status
Subject Province of Pontevedra E342842 entity
Predicate contains P35 FINISHED
Object Lalín E693367 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: Lalín | Statement: [Province of Pontevedra, contains, Lalín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lalín
Context triple: [Province of Pontevedra, contains, Lalín]
  • A. Lalín chosen
    Lalín is a municipality in the interior of the province of Pontevedra, in the autonomous community of Galicia in northwestern Spain.
  • B. Pribylina
    Pribylina is a village in northern Slovakia situated in the Liptov region, known for its traditional architecture and proximity to the Western Tatras.
  • C. Slaná
    Slaná is a river in central Europe that flows through Slovakia and Hungary, where it is known as the Sajó.
  • D. Kriváň
    Kriváň is a prominent and symbolically important peak in Slovakia’s High Tatras, often regarded as a national symbol and popular hiking destination.
  • E. Lesná
    Lesná is a small municipality and village located in the Tachov District of the Plzeň Region in the Czech Republic.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb44d327c8190a8d20568429d0f80 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94d09e988190a2a2a1332397b412 completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:25 a.m.