Triple
T22339873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amsterdam Central Station ferry terminal |
E552244
|
entity |
| Predicate | locatedBy |
P2409
|
FINISHED |
| Object | IJ |
—
|
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: IJ | Statement: [Amsterdam Central Station ferry terminal, locatedBy, IJ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IJ Context triple: [Amsterdam Central Station ferry terminal, locatedBy, IJ]
-
A.
IJ
IJ is the IATA airline designator assigned to Spring Airlines Japan, a Japanese low-cost carrier.
-
B.
IJ
chosen
The IJ is a body of water in Amsterdam that serves as a key waterway for transport and shipping, separating the city center from Amsterdam-Noord.
-
C.
JI
JI is the IATA airline designator assigned to Meraj Airlines, an Iranian passenger carrier.
-
D.
JI
JI is an abbreviation for Joint Implementation, a flexible mechanism under the Kyoto Protocol that allows countries to earn emission reduction units by investing in emission-reducing projects in other developed countries.
-
E.
JE
JE is the station code used to identify Jean-Drapeau station in the Montreal Metro system.
- 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_69e11e494eec81909c4d2d51f69499d9 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157824f588190882bea9e61dd5a83 |
completed | April 29, 2026, 12:57 a.m. |
Created at: April 16, 2026, 8:43 p.m.