Triple

T17807877
Position Surface form Disambiguated ID Type / Status
Subject Atlántida Department E444614 entity
Predicate containsCity P294 FINISHED
Object Tela NE NERFINISHED

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: Tela | Statement: [Atlántida Department, containsCity, Tela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tela
Context triple: [Atlántida Department, containsCity, Tela]
  • A. Tela chosen
    Tela is a coastal city in northern Honduras known for its Caribbean beaches, nearby national parks, and role as a regional tourism and port hub.
  • B. Ticha
    Ticha is a retired Portuguese basketball point guard best known for her standout WNBA career, particularly with the Sacramento Monarchs.
  • C. Tzila
    Tzila is a feminine given name of Hebrew origin, often interpreted to mean "shade" or "shadow."
  • D. Kaska
    Kaska is an Athabaskan Indigenous language traditionally spoken by the Kaska Dena people of northern Canada, primarily in the Yukon and northern British Columbia.
  • E. Telti
    Telti is a small town and comune in the Gallura region of northeastern Sardinia, Italy, known for its rural landscape and traditional Sardinian culture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e488779a3081908405eac4930a095f completed April 19, 2026, 7:47 a.m.
Created at: April 10, 2026, 10:14 a.m.