Triple
T1142831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EYE Filmmuseum |
E23493
|
entity |
| Predicate | locatedOnWaterbody |
P1489
|
FINISHED |
| Object | IJ |
E3945
|
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: [EYE Filmmuseum, locatedOnWaterbody, IJ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IJ Context triple: [EYE Filmmuseum, locatedOnWaterbody, IJ]
-
A.
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.
-
B.
JO
JO is the two-letter ISO 3166-1 alpha-2 country code assigned to the Hashemite Kingdom of Jordan.
-
C.
IA
IA is the standard two-letter U.S. Postal Service abbreviation for the state of Iowa.
-
D.
IJ Bay
chosen
IJ Bay is a body of water in the Netherlands that forms a key waterfront and harbor area for the city of Amsterdam.
-
E.
DI
DI is the abbreviation for Defence Intelligence, the United Kingdom’s military intelligence organization responsible for providing strategic and operational intelligence to the government and armed forces.
- 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_69a493ef399c8190b04b9146d2314f59 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc4e93d48190b9fea886bf61aad7 |
completed | March 1, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac59b2395c81909d4608bdaf1d57e8 |
completed | March 7, 2026, 5 p.m. |
Created at: March 1, 2026, 7:44 p.m.