Triple
T22327482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dangriga |
E551936
|
entity |
| Predicate | airportIATA |
P418
|
FINISHED |
| Object |
DGA
DGA is the IATA airport code for Dangriga Airport, a small regional airport serving the town of Dangriga in Belize.
|
E1531269
|
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: DGA | Statement: [Dangriga, airportIATA, DGA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DGA Context triple: [Dangriga, airportIATA, DGA]
-
A.
DGA
DGA is a prominent American labor union representing film and television directors and members of the directorial team.
-
B.
DGA
DGA is France’s defense procurement and technology agency responsible for equipping the armed forces and overseeing major military research and development programs.
-
C.
DGA
DGA is a political organization that supports and coordinates the election and re-election efforts of Democratic Party governors in the United States.
-
D.
DGC
DGC is the United Nations Department of Global Communications, responsible for promoting global awareness and understanding of the UN’s work through strategic communication and public outreach.
-
E.
DGC
DGC is a record label imprint best known for signing influential alternative rock and grunge artists in the late 1980s and 1990s.
- 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: DGA Triple: [Dangriga, airportIATA, DGA]
Generated description
DGA is the IATA airport code for Dangriga Airport, a small regional airport serving the town of Dangriga in Belize.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DGA Target entity description: DGA is the IATA airport code for Dangriga Airport, a small regional airport serving the town of Dangriga in Belize.
-
A.
DGA
DGA is a prominent American labor union representing film and television directors and members of the directorial team.
-
B.
DGA
DGA is France’s defense procurement and technology agency responsible for equipping the armed forces and overseeing major military research and development programs.
-
C.
DGA
DGA is a political organization that supports and coordinates the election and re-election efforts of Democratic Party governors in the United States.
-
D.
DGC
DGC is the United Nations Department of Global Communications, responsible for promoting global awareness and understanding of the UN’s work through strategic communication and public outreach.
-
E.
DGC
DGC is a record label imprint best known for signing influential alternative rock and grunge artists in the late 1980s and 1990s.
- 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_69e11e482f788190b78d1588fc26d606 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157693460819087c165481eb9e128 |
completed | April 29, 2026, 12:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ad523ecec8190a85eb932288965fb |
completed | May 18, 2026, 9 a.m. |
| NEDg | Description generation | batch_6a0ad992b43c8190b0e409d64db83308 |
completed | May 18, 2026, 9:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0adac48bec8190989dd7c5e28d283a |
completed | May 18, 2026, 9:24 a.m. |
Created at: April 16, 2026, 8:42 p.m.