Triple
T2720485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Congonhas–São Paulo Airport |
E60068
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
CGH
CGH is the IATA airport code for Congonhas–São Paulo Airport, a major domestic airport serving the city of São Paulo, Brazil.
|
E293532
|
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: CGH | Statement: [Congonhas–São Paulo Airport, IATAcode, CGH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CGH Context triple: [Congonhas–São Paulo Airport, IATAcode, CGH]
-
A.
GCH
GCH is the vehicle registration code assigned to a specific district within Poland’s Pomeranian Voivodeship.
-
B.
CGF
CGF is the abbreviation for the Commonwealth Games Federation, the international organization responsible for overseeing and managing the Commonwealth Games and related sporting events.
-
C.
GCA
GCA is a landmark U.S. federal law enacted in 1968 that regulates the firearms industry and gun sales, including licensing, prohibited persons, and interstate commerce in weapons.
-
D.
CDG
CDG is the IATA airport code for Charles de Gaulle Airport, the main international airport serving Paris and one of Europe’s busiest air hubs.
-
E.
CGN
CGN is a Swiss company that operates passenger ferry and cruise services on Lake Geneva.
- 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: CGH Triple: [Congonhas–São Paulo Airport, IATAcode, CGH]
Generated description
CGH is the IATA airport code for Congonhas–São Paulo Airport, a major domestic airport serving the city of São Paulo, Brazil.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CGH Target entity description: CGH is the IATA airport code for Congonhas–São Paulo Airport, a major domestic airport serving the city of São Paulo, Brazil.
-
A.
GCH
GCH is the vehicle registration code assigned to a specific district within Poland’s Pomeranian Voivodeship.
-
B.
CGF
CGF is the abbreviation for the Commonwealth Games Federation, the international organization responsible for overseeing and managing the Commonwealth Games and related sporting events.
-
C.
GCA
GCA is a landmark U.S. federal law enacted in 1968 that regulates the firearms industry and gun sales, including licensing, prohibited persons, and interstate commerce in weapons.
-
D.
CDG
CDG is the IATA airport code for Charles de Gaulle Airport, the main international airport serving Paris and one of Europe’s busiest air hubs.
-
E.
CGN
CGN is a Swiss company that operates passenger ferry and cruise services on Lake Geneva.
- 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_69ab4b746d248190958e052045c09255 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdab06d388190acf690787fe58ab5 |
completed | March 7, 2026, 7:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb6914f70819099482893d026f34b |
completed | March 10, 2026, 6:13 a.m. |
| NEDg | Description generation | batch_69afb726182081909570e4cb7a364e4d |
completed | March 10, 2026, 6:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb78f9d08819087d6f31fe1e4e61c |
completed | March 10, 2026, 6:17 a.m. |
Created at: March 6, 2026, 9:55 p.m.