Triple

T10427595
Position Surface form Disambiguated ID Type / Status
Subject ALGOL E245825 entity
Predicate developer P73 FINISHED
Object GAMM E548160 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: GAMM | Statement: [ALGOL, developer, GAMM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GAMM
Context triple: [ALGOL, developer, 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. GCGM
    GCGM is the ICAO airport code for La Gomera Airport, a regional airport serving the island of La Gomera in Spain’s Canary Islands.
  • C. GMMN
    GMMN is the ICAO airport code for Mohammed V International Airport, the main international gateway serving Casablanca, Morocco.
  • D. GMMX
    GMMX is the ICAO airport code for Marrakesh Menara Airport, a major international airport serving the city of Marrakesh in Morocco.
  • E. gambus
    The gambus is a traditional Middle Eastern–derived lute widely used in Malay and Indonesian music, especially in Islamic devotional and folk genres.
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea4a7dcc81909a830e08656a1c0c completed April 7, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fc2b50b48190b1d5b29d19a240c2 completed April 9, 2026, 7:21 p.m.
Created at: April 6, 2026, 12:12 p.m.