Triple
T586173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amsterdam Airport Schiphol |
E15161
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Luchthaven Schiphol |
E15161
|
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: Luchthaven Schiphol | Statement: [Amsterdam Airport Schiphol, alsoKnownAs, Luchthaven Schiphol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luchthaven Schiphol Context triple: [Amsterdam Airport Schiphol, alsoKnownAs, Luchthaven Schiphol]
-
A.
Amsterdam Airport Schiphol
chosen
Amsterdam Airport Schiphol is the main international airport of the Netherlands and one of Europe’s busiest aviation hubs for passenger and cargo traffic.
-
B.
Eindhoven Airport
Eindhoven Airport is a major regional airport in the Netherlands that serves as a key hub for low-cost and European short-haul flights.
-
C.
Schiphol railway station
Schiphol railway station is a major Dutch rail hub located beneath Amsterdam Airport Schiphol, providing national and international train connections.
-
D.
Brussels Airport
Brussels Airport is the main international airport serving Brussels and one of Belgium’s busiest air transport hubs for passengers and cargo.
-
E.
Hamburg Airport
Hamburg Airport is an international airport in northern Germany serving the city of Hamburg and the surrounding region as a major passenger and cargo hub.
- 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_69a4935783b8819082b77726ec10cc42 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b9a46388190a094b9ebf8dec397 |
completed | March 1, 2026, 8:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a51f33e59c8190b3593b8460411fba |
completed | March 2, 2026, 5:25 a.m. |
Created at: March 1, 2026, 7:33 p.m.