Triple

T12504318
Position Surface form Disambiguated ID Type / Status
Subject Chamical Department E298907 entity
Predicate administrativeCenter P1474 FINISHED
Object Chamical E298902 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: Chamical | Statement: [Chamical Department, administrativeCenter, Chamical]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chamical
Context triple: [Chamical Department, administrativeCenter, Chamical]
  • A. Chamical chosen
    Chamical is a small city in central La Rioja Province, Argentina, known historically as a regional railway and agricultural center.
  • B. Noxon
    Noxon is a surname most notably associated with American television writer, producer, and director Marti Noxon.
  • C. Chemmis
    Chemmis is the ancient Greek name for the Egyptian city of Akhmim, a historically significant settlement in Upper Egypt known for its temples and religious heritage.
  • D. Challex
    Challex is a small commune in eastern France’s Ain department, near the Swiss border in the Auvergne-Rhône-Alpes region.
  • E. Carbone
    Carbone is a high-end Italian-American restaurant known for its classic New York red-sauce dishes and retro, mid-20th-century ambiance.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dfcea188190a929db1aabe1a286 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6685bafcc8190beae748d979762e1 completed May 2, 2026, 9:10 p.m.
Created at: April 8, 2026, 9:57 p.m.