Triple
T19080410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EUCOR |
E467015
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Eucor |
—
|
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: Eucor | Statement: [EUCOR, alternativeName, Eucor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eucor Context triple: [EUCOR, alternativeName, Eucor]
-
A.
EUCOR
chosen
EUCOR is a cross-border alliance of universities in the Upper Rhine region that collaborates on research, teaching, and academic exchange within a shared European campus.
-
B.
Europaeum
Europaeum is a network of leading European universities dedicated to promoting academic collaboration, European studies, and cross-border dialogue in higher education.
-
C.
Evra
Evra is a French former professional footballer best known for his successful career as a left-back with Manchester United and the French national team.
-
D.
Eura
Eura is a municipality in southwestern Finland known for its rich archaeological heritage and prehistoric sites.
-
E.
EUG
EUG is the IATA airport code for Mahlon Sweet Field, the primary commercial airport serving Eugene and the surrounding region in western Oregon, United States.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2e8f8148190942cca6dd3e30caf |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 10, 2026, 12:04 p.m.