Triple
T15679810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Damascus International Airport |
E377539
|
entity |
| Predicate | IATA code |
P2569
|
FINISHED |
| Object | DAM |
E377539
|
NE FINISHED |
How this triple was built (2 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: DAM | Statement: [Damascus International Airport, IATA code, DAM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DAM Context triple: [Damascus International Airport, IATA code, DAM]
-
A.
DAM
chosen
DAM is the three-letter IATA airport code for Damascus International Airport, the main airport serving Syria’s capital city.
-
B.
DAM
DAM is the National Rail station code used to identify Dalmeny railway station in Scotland’s rail network.
-
C.
DAM
DAM is a Frankfurt-based museum dedicated to the history, theory, and contemporary practice of architecture in Germany and beyond.
-
D.
DPM
DPM is the abbreviation for the División de Policía Militar, a military police division responsible for law enforcement and security duties within a nation's armed forces.
-
E.
DIT
DIT is the South Australian government department responsible for planning, developing, and managing the state’s transport systems and infrastructure.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f2f1640819086efd5a73bb9734a |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ee2a33c81908fcd120ca670b309 |
completed | May 9, 2026, 5:29 p.m. |
Created at: April 10, 2026, 4:16 a.m.