Triple
T22779315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Concourse A, South |
E563789
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Terminal 4 |
—
|
NE NERFINISHED |
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: Terminal 4 | Statement: [Concourse A, South, partOf, Terminal 4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terminal 4 Context triple: [Concourse A, South, partOf, Terminal 4]
-
A.
Terminal 4
Terminal 4 is one of the passenger terminals at Stockholm Arlanda Airport, primarily serving domestic and some regional flights within Scandinavia.
-
B.
Terminal 4
Terminal 4 is one of the passenger terminals at Perth Airport in Western Australia, serving selected domestic airline operations.
-
C.
Terminal 4
Terminal 4 is a major passenger terminal at Cancún International Airport that handles a large share of the airport’s international and domestic flights.
-
D.
Terminal 4
Terminal 4 is a modern, high-tech passenger terminal at Singapore Changi Airport known for its automated check-in, immigration, and boarding processes.
-
E.
Terminal 4
chosen
Terminal 4 is one of Heathrow Airport’s passenger terminals, serving a mix of international airlines and routes with its own check-in, security, and arrivals facilities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24554497c819080b996e071de27c2 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b63d348819085668e3d9ac78ffa |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 3:28 p.m.