Triple
T19733713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maestro Wilson Fonseca International Airport |
E473919
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
STM
STM is the IATA airport code for Maestro Wilson Fonseca International Airport serving Santarém in the state of Pará, Brazil.
|
E1393318
|
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: STM | Statement: [Maestro Wilson Fonseca International Airport, IATAcode, STM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: STM Context triple: [Maestro Wilson Fonseca International Airport, IATAcode, STM]
-
A.
STM
STM is the public transit agency serving the city of Montreal, operating its bus and metro networks.
-
B.
STM
STM is the station code for Smithtown station, a Long Island Rail Road commuter rail stop in Smithtown, New York.
-
C.
STM
STM is the stock ticker symbol for STMicroelectronics, a major global semiconductor manufacturer.
-
D.
STM
STM is the Finnish Ministry of Social Affairs and Health, the government body responsible for national social welfare and health policy in Finland.
-
E.
STA
STA is the vehicle registration code for the district of Starnberg in Bavaria, Germany.
- 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: STM Triple: [Maestro Wilson Fonseca International Airport, IATAcode, STM]
Generated description
STM is the IATA airport code for Maestro Wilson Fonseca International Airport serving Santarém in the state of Pará, Brazil.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: STM Target entity description: STM is the IATA airport code for Maestro Wilson Fonseca International Airport serving Santarém in the state of Pará, Brazil.
-
A.
STM
STM is the public transit agency serving the city of Montreal, operating its bus and metro networks.
-
B.
STM
STM is the station code for Smithtown station, a Long Island Rail Road commuter rail stop in Smithtown, New York.
-
C.
STM
STM is the stock ticker symbol for STMicroelectronics, a major global semiconductor manufacturer.
-
D.
STM
STM is the Finnish Ministry of Social Affairs and Health, the government body responsible for national social welfare and health policy in Finland.
-
E.
STA
STA is the commonly used abbreviation for the Shanghai Theatre Academy, a leading Chinese institution specializing in theatre, film, and performing arts education.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6515b4d308190af3be1787fa7c65b |
completed | April 20, 2026, 4:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07b4f4e1e081908fca0b6513bb3bbb |
completed | May 16, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_6a07b73cc5a48190af0ab9da30c859b4 |
completed | May 16, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07b81193d081908dfb19272b4df41b |
completed | May 16, 2026, 12:19 a.m. |
Created at: April 10, 2026, 1:47 p.m.