Triple

T22180717
Position Surface form Disambiguated ID Type / Status
Subject GAMM E548160 entity
Predicate acronym P43 FINISHED
Object GAMM 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: GAMM | Statement: [GAMM, acronym, GAMM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GAMM
Context triple: [GAMM, acronym, GAMM]
  • A. GAMM chosen
    GAMM is a European scientific society focused on applied mathematics and mechanics that played a key role in the early development of programming languages.
  • B. GAM
    GAM is the stock ticker symbol for Gaumont, a historic French film production and distribution company.
  • C. GAM
    GAM is a major cultural and arts center in Santiago, Chile, named after the Nobel Prize–winning poet Gabriela Mistral.
  • D. Gamu
    Gamu is a landlocked agricultural municipality in the province of Isabela in the Cagayan Valley region of the Philippines.
  • E. Gammala
    Gammala was a Mongol prince of the Yuan dynasty, notable as a member of the imperial Borjigin lineage and ancestor of the emperor Yesün Temür.
  • 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_69e11e3d53f88190a2b690e3f25bb062 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12aa4d4ac8190922b919c15623963 completed April 28, 2026, 9:46 p.m.
Created at: April 16, 2026, 8:35 p.m.