Triple

T7603229
Position Surface form Disambiguated ID Type / Status
Subject Chaco Province E180035 entity
Predicate capital P234 FINISHED
Object Resistencia E429751 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: Resistencia | Statement: [Chaco Province, capital, Resistencia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Resistencia
Context triple: [Chaco Province, capital, Resistencia]
  • A. Resistencia chosen
    Resistencia is the capital city of Argentina’s Chaco Province, located on the Paraná River opposite the city of Corrientes.
  • B. Caranavi
    Caranavi is a Bolivian town known as a key coffee-growing and agricultural hub in the Yungas region.
  • C. Camarate
    Camarate is a civil parish in the municipality of Loures, near Lisbon in Portugal, known primarily as a residential suburb with historical ties to the Lisbon metropolitan area.
  • D. Artigas Base
    Artigas Base is a Uruguayan scientific research station located on King George Island in the South Shetland Islands near the Antarctic Peninsula.
  • E. Montecristi
    Montecristi is a historic town in coastal Ecuador renowned as the traditional birthplace and production center of the Panama hat.
  • 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9fa633081909660f653f5b073cd completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8684a98fc8190b3d0568f13ccd123 completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:54 p.m.