Triple

T13093979
Position Surface form Disambiguated ID Type / Status
Subject Sam Ratulangi International Airport E310532 entity
Predicate IATAcode P418 FINISHED
Object MDC
MDC is the three-letter IATA airport code for Sam Ratulangi International Airport serving Manado in North Sulawesi, Indonesia.
E1019538 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: MDC | Statement: [Sam Ratulangi International Airport, IATAcode, MDC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MDC
Context triple: [Sam Ratulangi International Airport, IATAcode, MDC]
  • A. MDC
    MDC is a Zimbabwean opposition political party known as the Movement for Democratic Change, which has played a major role in challenging the long-standing rule of ZANU–PF.
  • B. MCD
    MCD is a system of urban and suburban commuter rail lines in Moscow designed to function like an express metro, connecting the city with its surrounding regions.
  • C. MCD
    MCD is the stock ticker symbol for McDonald’s Corporation, the world’s largest fast-food restaurant chain.
  • D. MCD
    MCD is the FAA location identifier for Mackinac Island Airport, a small public airport serving Mackinac Island in Michigan, USA.
  • E. MDA
    MDA (Model-Driven Architecture) is a software design approach that emphasizes creating and transforming high-level platform-independent models into platform-specific implementations, standardized by the Object Management Group.
  • 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: MDC
Triple: [Sam Ratulangi International Airport, IATAcode, MDC]
Generated description
MDC is the three-letter IATA airport code for Sam Ratulangi International Airport serving Manado in North Sulawesi, Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MDC
Target entity description: MDC is the three-letter IATA airport code for Sam Ratulangi International Airport serving Manado in North Sulawesi, Indonesia.
  • A. MDC
    MDC is a Zimbabwean opposition political party known as the Movement for Democratic Change, which has played a major role in challenging the long-standing rule of ZANU–PF.
  • B. MCD
    MCD is the stock ticker symbol for McDonald’s Corporation, the world’s largest fast-food restaurant chain.
  • C. MCD
    MCD is the FAA location identifier for Mackinac Island Airport, a small public airport serving Mackinac Island in Michigan, USA.
  • D. MCD
    MCD is a system of urban and suburban commuter rail lines in Moscow designed to function like an express metro, connecting the city with its surrounding regions.
  • E. MDA
    MDA (Monochrome Display Adapter) is IBM's original text-only video display standard for early IBM PCs, providing high-resolution monochrome output without graphics capabilities.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d9813cd1b881909871a318fdd60672 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d617f1908190a2fa147bedede54f completed May 3, 2026, 4:59 a.m.
NEDg Description generation batch_69f6d6e326408190b7906c7ea8e3ef85 completed May 3, 2026, 5:02 a.m.
NED2 Entity disambiguation (via description) batch_69f6d873b978819097962c82e8ffdac8 completed May 3, 2026, 5:09 a.m.
Created at: April 9, 2026, 9:03 p.m.