Triple

T9299662
Position Surface form Disambiguated ID Type / Status
Subject Guarda District E223725 entity
Predicate containsTown P847 FINISHED
Object Mêda E789635 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: Mêda | Statement: [Guarda District, containsTown, Mêda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mêda
Context triple: [Guarda District, containsTown, Mêda]
  • A. Mêda chosen
    Mêda is a municipality in northeastern Portugal known for its rural landscapes, wine production, and proximity to the Douro wine region.
  • B. Mella
    Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
  • C. Menas
    Menas is a pirate and follower of Pompey in Shakespeare's tragedy "Antony and Cleopatra," known for proposing a plot to seize control of Rome's leaders.
  • D. Doirani
    Doirani is a settlement in northern Greece near Lake Doirani, close to the border with North Macedonia, known for its historical significance in the Balkan Wars and World War I.
  • E. Hemera
    Hemera is the ancient Greek primordial goddess and personification of daylight, often contrasted with her mother Nyx, the goddess of night.
  • 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_69ca8423edb08190bc0c91287a484768 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd08d070c881908bed41aada6f85ae completed April 1, 2026, noon
NED1 Entity disambiguation (via context triple) batch_69d0c77b8bf481909c5abf6523f75b2c completed April 4, 2026, 8:10 a.m.
Created at: March 30, 2026, 7:36 p.m.