Triple

T16827997
Position Surface form Disambiguated ID Type / Status
Subject Cañas y barro E409070 entity
Predicate settingLocation P40 FINISHED
Object Albufera E581826 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: Albufera | Statement: [Cañas y barro, settingLocation, Albufera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albufera
Context triple: [Cañas y barro, settingLocation, Albufera]
  • A. Llobregat Delta
    Llobregat Delta is a coastal wetland and river delta area near Barcelona, Spain, known for its ecological importance, bird habitats, and agricultural lands.
  • B. Albufera Natural Park chosen
    Albufera Natural Park is a coastal wetland and lagoon near Valencia, Spain, renowned for its rich biodiversity, rice fields, and traditional fishing culture.
  • C. Ebro Delta
    The Ebro Delta is a large wetland and river delta in northeastern Spain known for its rich biodiversity, rice fields, and important bird habitats along the Mediterranean coast.
  • D. Mar Menor
    Mar Menor is a large coastal saltwater lagoon in southeastern Spain, known for its shallow, warm waters and popular tourist beaches.
  • E. Lago de Valencia
    Lago de Valencia is an inland lake in north-central Venezuela, known as one of the country's largest and most environmentally impacted bodies of water.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b3151350819097b1c375e6df8986 completed April 18, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b2a0ac148190a7a7edebcb67c040 completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:23 a.m.