Triple
T16214724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eugenios |
E393556
|
entity |
| Predicate | hasShortForm |
P43
|
FINISHED |
| Object | Eugenis |
E393556
|
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: Eugenis | Statement: [Eugenios, hasShortForm, Eugenis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eugenis Context triple: [Eugenios, hasShortForm, Eugenis]
-
A.
Eugénia
Eugénia is a given name, commonly used in Portuguese and other Romance languages, that is a variant of the name Eugenia.
-
B.
Eugeneia
Eugeneia is an alternative spelling or variant form of the given name Eugenia, which is derived from Greek and traditionally associated with nobility or good birth.
-
C.
Eleonas
Eleonas is a district in the western part of Athens, Greece, historically known for its olive groves and now characterized by mixed industrial and urban development.
-
D.
Eugenios
chosen
Eugenios is a variant form of the given name Eugenio, commonly used in Greek and related linguistic traditions.
-
E.
Agenaise
Agenaise is the French demonym referring to a female inhabitant or native of the city of Agen in southwestern France.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227f4685c8190aa1e9304e4a62d13 |
completed | April 17, 2026, 12:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000794e6c881909c4521e4dd031971 |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:03 a.m.