Triple

T22087719
Position Surface form Disambiguated ID Type / Status
Subject Tuy River E545825 entity
Predicate nearbySettlement P350 FINISHED
Object Cúa 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: Cúa | Statement: [Tuy River, nearbySettlement, Cúa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cúa
Context triple: [Tuy River, nearbySettlement, Cúa]
  • A. Cúa chosen
    Cúa is a major town in Venezuela’s Valles del Tuy region, known as a local commercial and transportation hub within Miranda state.
  • B. Makung
    Makung (now commonly spelled Magong) is the principal city of Taiwan’s Penghu (Pescadores) archipelago, historically significant as a strategic naval and trading port in the Taiwan Strait.
  • C. Pomfret
    Pomfret is a small, historic town in northeastern Connecticut known for its rural character, scenic landscapes, and prestigious boarding schools.
  • D. Pomfret
    Pomfret is an unincorporated community in Charles County, Maryland, known for its rural character and historic churches.
  • E. Scupi
    Scupi was an ancient city that served as a major political and administrative center in the region of Dardania, in the central Balkans.
  • 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e3a98481908a7b3dc3f2a90276 completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.