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.