Triple
T10386181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buiksloterham |
E244768
|
entity |
| Predicate | locatedOnWaterbody |
P1489
|
FINISHED |
| Object | IJ |
E159017
|
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: IJ | Statement: [Buiksloterham, locatedOnWaterbody, IJ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IJ Context triple: [Buiksloterham, locatedOnWaterbody, IJ]
-
A.
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.
-
B.
IJ
IJ is the IATA airline designator assigned to Spring Airlines Japan, a Japanese low-cost carrier.
-
C.
JI
JI is the IATA airline designator assigned to Meraj Airlines, an Iranian passenger carrier.
-
D.
J
J is a New York City Subway service that runs through Brooklyn and Queens into Manhattan, serving neighborhoods in eastern Brooklyn and southern Queens.
-
E.
J
J is the streetwise, impulsive teenage grandson in the TV series "Animal Kingdom," who becomes entangled in his criminal family's operations.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9a42e748190b10fa7b4ca006bad |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d795a30a008190a42db2eda3b5dca2 |
completed | April 9, 2026, 12:03 p.m. |
Created at: April 6, 2026, 12:05 p.m.