Triple
T23059401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oliver Messel |
E574254
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Messel |
—
|
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: Messel | Statement: [Oliver Messel, familyName, Messel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Messel Context triple: [Oliver Messel, familyName, Messel]
-
A.
Messel
chosen
Messel is a small German municipality in Hesse best known for the nearby Messel Pit, a UNESCO World Heritage fossil site renowned for its exceptionally preserved Eocene-era fossils.
-
B.
Dinant
Dinant is a picturesque Belgian town in Wallonia known for its dramatic cliffs along the Meuse River, its citadel, and as the birthplace of saxophone inventor Adolphe Sax.
-
C.
Melle
Melle is a town in the German state of North Rhine-Westphalia, known for its location in the Osnabrück district and its mix of industrial and rural character.
-
D.
Melle
Melle is a town in Lower Saxony, Germany, known for its rural character, historical architecture, and role as a regional economic center.
-
E.
Melle
Melle is a small historic town in western France known for its Romanesque churches and former silver mines.
- 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_69e245ba7ae48190be606dbc54120e39 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1899e6c788190a2a862122cae8dc3 |
completed | April 29, 2026, 4:31 a.m. |
Created at: April 17, 2026, 3:55 p.m.