Triple

T12921311
Position Surface form Disambiguated ID Type / Status
Subject ECO Cultural Institute E309127 entity
Predicate regionServed P82 FINISHED
Object ECO region E1014296 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: ECO region | Statement: [ECO Cultural Institute, regionServed, ECO region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ECO region
Context triple: [ECO Cultural Institute, regionServed, ECO region]
  • A. ECO region chosen
    The ECO region is the geographic area encompassing the member states of the Economic Cooperation Organization, primarily spanning parts of Central, South, and West Asia where the organization promotes regional economic collaboration.
  • B. Region E
    Region E is an administrative region within the City of Johannesburg Metropolitan Municipality, encompassing several suburbs and commercial areas in the city’s northeastern part.
  • C. Oriente region
    The Oriente region is a historical area in eastern Cuba known for its mountainous terrain, rich Afro-Cuban culture, and key role in the Cuban Revolution.
  • D. Gbêkê Region
    Gbêkê Region is an administrative region in central Ivory Coast whose largest and most prominent city is Bouaké.
  • E. Ave Subregion
    Ave Subregion is an administrative and statistical region in northern Portugal known for its industrial cities, historical heritage, and dense urban development.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971e7f6e881908c7bb12283898c80 completed April 10, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0eaa3688190b399aa212e16ca08 completed May 3, 2026, 3:28 a.m.
Created at: April 9, 2026, 5:41 p.m.