Triple
T17802347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seine-Inférieure |
E444461
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Eu |
—
|
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: Eu | Statement: [Seine-Inférieure, contains, Eu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eu Context triple: [Seine-Inférieure, contains, Eu]
-
A.
Europos
Europos is an ancient city historically known as Rayy (or Rey), located near modern-day Tehran in Iran and recognized as one of the oldest continuously inhabited settlements in the region.
-
B.
Europos
Europos was an ancient Macedonian town traditionally identified as the birthplace of the Seleucid Empire’s founder, Seleucus I Nicator.
-
C.
Eure
Eure is a river in northern France that flows through the regions of Normandy and Centre-Val de Loire before joining the Seine.
-
D.
Eure
chosen
Eure is a department in the Normandy region of northern France, known for its rural landscapes, historic towns, and proximity to Paris.
-
E.
Euron
Euron is a ruthless and enigmatic Ironborn lord from the "A Song of Ice and Fire" series, known for his ambition, cruelty, and dabbling in dark magic.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e488005a288190b7a2cffa590d2557 |
completed | April 19, 2026, 7:45 a.m. |
Created at: April 10, 2026, 10:13 a.m.