Triple
T11715664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Rafael |
E278489
|
entity |
| Predicate | airportIATAcode |
P418
|
FINISHED |
| Object |
AFA
AFA is the IATA airport code for San Rafael's main airport in Mendoza Province, Argentina.
|
E942637
|
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: AFA | Statement: [San Rafael, airportIATAcode, AFA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AFA Context triple: [San Rafael, airportIATAcode, AFA]
-
A.
AFA
AFA is the Argentine Football Association, the main governing body responsible for organizing and regulating football in Argentina, including its national teams and professional leagues.
-
B.
AfA
AfA is the abbreviation for the Arbeitsgemeinschaft für Arbeitnehmerfragen, a labor-oriented working group within Germany’s Social Democratic Party (SPD) that represents employees’ interests.
-
C.
AFAC
AFAC is Mexico’s Federal Civil Aviation Agency responsible for regulating and overseeing civil aviation activities in the country.
-
D.
KFA
KFA is the commonly used abbreviation for the Korea Football Association, the governing body of football in South Korea.
-
E.
FAFC
FAFC is the common abbreviation for Forfar Athletic Football Club, a Scottish professional football team based in the town of Forfar.
- 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: AFA Triple: [San Rafael, airportIATAcode, AFA]
Generated description
AFA is the IATA airport code for San Rafael's main airport in Mendoza Province, Argentina.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AFA Target entity description: AFA is the IATA airport code for San Rafael's main airport in Mendoza Province, Argentina.
-
A.
AFA
AFA is the Argentine Football Association, the main governing body responsible for organizing and regulating football in Argentina, including its national teams and professional leagues.
-
B.
AfA
AfA is the abbreviation for the Arbeitsgemeinschaft für Arbeitnehmerfragen, a labor-oriented working group within Germany’s Social Democratic Party (SPD) that represents employees’ interests.
-
C.
AFAC
AFAC is Mexico’s Federal Civil Aviation Agency responsible for regulating and overseeing civil aviation activities in the country.
-
D.
KFA
KFA is the commonly used abbreviation for the Korea Football Association, the governing body of football in South Korea.
-
E.
FAFC
FAFC is the common abbreviation for Forfar Athletic Football Club, a Scottish professional football team based in the town of Forfar.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4bf54d88190a8e07fbbf8d9e962 |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef8397a4ac8190a71dfdd53bfa168a |
completed | April 27, 2026, 3:41 p.m. |
| NEDg | Description generation | batch_69ef96b0169081909ad5c5d40a006e64 |
completed | April 27, 2026, 5:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69efb4dad6a481909a54511b6233993b |
completed | April 27, 2026, 7:11 p.m. |
Created at: April 8, 2026, 9:40 p.m.