Triple
T21350234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Prince of the Hungarians |
E526455
|
entity |
| Predicate | positionHeldBy |
P8
|
FINISHED |
| Object | Taksony |
—
|
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: Taksony | Statement: [Grand Prince of the Hungarians, positionHeldBy, Taksony]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taksony Context triple: [Grand Prince of the Hungarians, positionHeldBy, Taksony]
-
A.
Taksony
chosen
Taksony was a 10th-century Grand Prince of the Hungarians, known for consolidating the early Hungarian state and continuing raids into Western Europe.
-
B.
Taxal
Taxal is a small rural parish and former village in Derbyshire, England, known for its historic church and scenic location in the Goyt Valley near Whaley Bridge.
-
C.
Anzotica
Anzotica is an Illyrian love and fertility goddess often associated with beauty and sensuality.
-
D.
Fauna
Fauna is one of the three good fairies in Disney's "Sleeping Beauty," known for her gentle, nurturing nature and green attire.
-
E.
Fauna
Fauna is a Roman goddess associated with fertility, the earth, and prophetic inspiration, often linked to rural life and nature.
- 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_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8ad31087481909d41e9d28286f04d |
completed | April 22, 2026, 11:12 a.m. |
Created at: April 16, 2026, 5:03 p.m.