Triple

T7603233
Position Surface form Disambiguated ID Type / Status
Subject Chaco Province E180035 entity
Predicate borderedBy P224 FINISHED
Object Formosa Province E156882 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: Formosa Province | Statement: [Chaco Province, borderedBy, Formosa Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Formosa Province
Context triple: [Chaco Province, borderedBy, Formosa Province]
  • A. Hither Province
    Hither Province was a historical administrative region associated with the ancient Greek city-state of Pylos.
  • B. Formosa chosen
    Formosa is a city in northeastern Argentina that serves as the capital of Formosa Province, located near the border with Paraguay.
  • C. Formosa
    Formosa is the historical Western name for Taiwan, an East Asian island whose post–World War II status was addressed in Allied agreements such as the Cairo Declaration.
  • D. Formosa
    Formosa is one of the islands in Guinea-Bissau’s Bijagós Archipelago, a coastal island group in West Africa known for its rich biodiversity and traditional communities.
  • E. Kinmen
    Kinmen is a group of strategically located islands governed by Taiwan (Republic of China), situated just off the coast of mainland China and known for their military history and cross-strait significance.
  • 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.