Triple

T5819298
Position Surface form Disambiguated ID Type / Status
Subject ALGOL 58 E129067 entity
Predicate designedBy P184 FINISHED
Object GAMM
GAMM is a European scientific society focused on applied mathematics and mechanics that played a key role in the early development of programming languages.
 E548160 NE FINISHED

How this triple was built (4 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 58, designedBy, GAMM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GAMM
Context triple: [ALGOL 58, designedBy, GAMM]
  • A. GMMN
    GMMN is the ICAO airport code for Mohammed V International Airport, the main international gateway serving Casablanca, Morocco.
  • B. GMMX
    GMMX is the ICAO airport code for Marrakesh Menara Airport, a major international airport serving the city of Marrakesh in Morocco.
  • C. gambus
    The gambus is a traditional Middle Eastern–derived lute widely used in Malay and Indonesian music, especially in Islamic devotional and folk genres.
  • D. GROM
    GROM is Poland’s elite special operations unit renowned for high-risk counterterrorism, hostage rescue, and unconventional warfare missions.
  • E. GMMS
    GMMS is the National Location Code used within the UK rail industry to uniquely identify Mills Hill railway station in operational and ticketing systems.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: GAMM
Triple: [ALGOL 58, designedBy, GAMM]
Generated description
GAMM is a European scientific society focused on applied mathematics and mechanics that played a key role in the early development of programming languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GAMM
Target entity description: GAMM is a European scientific society focused on applied mathematics and mechanics that played a key role in the early development of programming languages.
  • A. GMMN
    GMMN is the ICAO airport code for Mohammed V International Airport, the main international gateway serving Casablanca, Morocco.
  • B. GMMX
    GMMX is the ICAO airport code for Marrakesh Menara Airport, a major international airport serving the city of Marrakesh in Morocco.
  • C. gambus
    The gambus is a traditional Middle Eastern–derived lute widely used in Malay and Indonesian music, especially in Islamic devotional and folk genres.
  • D. GROM
    GROM is Poland’s elite special operations unit renowned for high-risk counterterrorism, hostage rescue, and unconventional warfare missions.
  • E. GMMS
    GMMS is the National Location Code used within the UK rail industry to uniquely identify Mills Hill railway station in operational and ticketing systems.
  • F. None of above. chosen

Provenance (5 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_69c0084869e881908d7859492183ca7b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c033e477c08190a8bd37c879e6b6b8 completed March 22, 2026, 6:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0985399488190bcab9702e3b88539 completed March 23, 2026, 1:33 a.m.
NEDg Description generation batch_69c0990d00e88190b9f2b34a8cedda3a completed March 23, 2026, 1:36 a.m.
NED2 Entity disambiguation (via description) batch_69c099770ca88190a91815ec055f6df8 completed March 23, 2026, 1:37 a.m.
Created at: March 22, 2026, 3:53 p.m.