Triple
T16666481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eudeve |
E404994
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Eudeve-Heve |
E404994
|
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: Eudeve-Heve | Statement: [Eudeve, hasAlternativeName, Eudeve-Heve]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eudeve-Heve Context triple: [Eudeve, hasAlternativeName, Eudeve-Heve]
-
A.
Eudeve
chosen
Eudeve is an extinct indigenous language once spoken by the Eudeve people of northern Mexico, belonging to the Southern Uto-Aztecan language family.
-
B.
Euhyas
Euhyas is a genus of frogs in the family Eleutherodactylidae, comprising small terrestrial species typically found in Neotropical regions.
-
C.
Ehden
Ehden is a mountainous town and summer resort in northern Lebanon known for its cool climate, historic churches, and proximity to the Horsh Ehden Nature Reserve.
-
D.
Heustreu
Heustreu is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany, known for its rural character and location near the Rhön Mountains.
-
E.
Eythe
Eythe is a surname most notably associated with American film and stage actor William Eythe, who appeared in several prominent Hollywood productions in the 1940s.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37c9cd7ec819084aa9b2830874bf5 |
completed | April 18, 2026, 12:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a32988c8190a671a4cbd829047a |
completed | May 10, 2026, 1:37 p.m. |
Created at: April 10, 2026, 5:18 a.m.