Triple
T14686452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Airport railway station |
E344919
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Airport Link |
E1113932
|
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: Airport Link | Statement: [International Airport railway station, partOf, Airport Link]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Airport Link Context triple: [International Airport railway station, partOf, Airport Link]
-
A.
Airport Link
chosen
Airport Link is a major rail line in Sydney, Australia, that connects the central business district with Sydney Airport and surrounding suburbs.
-
B.
Airport line
The Airport line is a railway service in Brisbane, Australia that connects the city to Brisbane Airport, providing dedicated public transport access for air travelers.
-
C.
Airport line
The Airport line is a railway line in Sydney, Australia, that connects the city centre with Sydney Airport and surrounding suburbs.
-
D.
Airport
"Airport" is the musical score composed by Alfred Newman for the 1970 disaster film of the same name, noted for its dramatic orchestral themes that underscore the movie’s tension and romance.
-
E.
Airport
"Airport" is a 1970 American disaster-drama film, based on Arthur Hailey's novel, that helped launch the popular 1970s disaster movie genre.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb58306548190b981956a83a84b95 |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb7e71d8819089912376346bbd9f |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:28 a.m.