Triple
T5295414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lange Jan |
E119840
|
entity |
| Predicate | hasNameInDutch |
P13254
|
FINISHED |
| Object | Lange Jan |
E121122
|
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: Lange Jan | Statement: [Lange Jan, hasNameInDutch, Lange Jan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lange Jan Context triple: [Lange Jan, hasNameInDutch, Lange Jan]
-
A.
Långe Jan
chosen
Långe Jan is Sweden’s tallest lighthouse, located at the southern tip of the Baltic Sea island of Öland.
-
B.
Lange Niezel
Lange Niezel is a narrow historic street in central Amsterdam’s Red Light District, known for its mix of tourist shops, bars, and traditional Dutch architecture.
-
C.
Marius de Vries
Marius de Vries is a British composer, producer, and arranger known for his innovative work on film soundtracks and collaborations with prominent pop and electronic artists.
-
D.
August Lange
August Lange was a Norwegian educator, author, and resistance member during World War II, known for his work in education and his involvement in the fight against Nazi occupation.
-
E.
Lange
Lange is a German surname borne by numerous notable individuals across fields such as science, politics, arts, and sports.
- 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_69bd446f22b88190b6a47fb91c68a3e7 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd84f19d048190a826f51acc603544 |
completed | March 20, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf06f8ebe08190b22a1d6733b80d07 |
completed | March 21, 2026, 9 p.m. |
Created at: March 20, 2026, 1:52 p.m.