Triple

T17087738
Position Surface form Disambiguated ID Type / Status
Subject Lousã E414642 entity
Predicate hasVillage P4011 FINISHED
Object Candal E1166851 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: Candal | Statement: [Lousã, hasVillage, Candal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Candal
Context triple: [Lousã, hasVillage, Candal]
  • A. Candal chosen
    Candal is a traditional schist village in central Portugal, known for its stone houses, scenic mountain setting, and inclusion among the historic Aldeias do Xisto.
  • B. Candalus
    Candalus is a figure from Greek mythology known as a son of Rhode.
  • C. Ceddo
    Ceddo is a 1977 Senegalese film by Ousmane Sembène that critiques religious and colonial imposition through the story of a traditional community resisting forced conversion and external domination.
  • D. Melaque
    Melaque is a coastal town in Jalisco, Mexico, known for its relaxed beach atmosphere, tourism, and role as a popular vacation spot on the Pacific coast.
  • E. Cotyora
    Cotyora was an ancient Greek city on the southern coast of the Black Sea in the region of Pontus, known as a colony of Sinope and a waypoint in Xenophon’s Anabasis.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe92e488190b947287a968086d5 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ee81fd08190a7e1f5958fbe3b97 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:35 a.m.