Triple

T15606802
Position Surface form Disambiguated ID Type / Status
Subject Cantanhede E375178 entity
Predicate borderedBy P224 FINISHED
Object Mira E374182 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: Mira | Statement: [Cantanhede, borderedBy, Mira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mira
Context triple: [Cantanhede, borderedBy, Mira]
  • A. Mira chosen
    Mira is a coastal municipality in central Portugal known for its beaches, lagoons, and natural landscapes.
  • B. Mira
    Mira is a famous red giant variable star in the constellation Cetus, known for its dramatic changes in brightness over time.
  • C. Mira
    Mira is a small town in northern Ecuador’s Carchi Province, known for its Andean setting and agricultural surroundings.
  • D. Mira
    Mira is a 1971 Belgian-Dutch drama film directed by Fons Rademakers, based on Stijn Streuvels’ novel "De Teleurgang van den Waterhoek."
  • E. Mira
    Mira is a common given name shared by various notable individuals, including acclaimed Indian-American film director Mira Nair.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e7ec08c8190b3842cf3043aea27 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56d3541c8190a5a2aa9730260562 completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:13 a.m.