Triple
T9371024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ptolemy XII Auletes |
E225528
|
entity |
| Predicate | cultTitle |
P14926
|
FINISHED |
| Object | Neos Dionysos |
E288765
|
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: Neos Dionysos | Statement: [Ptolemy XII Auletes, cultTitle, Neos Dionysos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neos Dionysos Context triple: [Ptolemy XII Auletes, cultTitle, Neos Dionysos]
-
A.
Dionysios
Dionysios is the Greek form of the name Denis, traditionally associated with Saint Denis of Paris, an early Christian martyr and bishop.
-
B.
Erasinos
Erasinos is an ancient river in the region of Attica, Greece, historically associated with the sanctuary and coastal area of Brauron.
-
C.
Thesmophoros
Thesmophoros is an epithet of the Greek goddess Demeter that emphasizes her role as the bringer and guardian of agricultural laws and social order.
-
D.
Diois
Diois is a mountainous, wine-producing region in southeastern France known for its scenic landscapes and sparkling Clairette de Die wine.
-
E.
Dionysos
chosen
Dionysos is a suburban town in the northeastern part of the Athens metropolitan area in Greece, known for its scenic setting on the slopes of Mount Pentelicus.
- 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_69ca842cbddc819099d71ecec48cf9e5 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd5083cbb8819088e8cef26be1b380 |
completed | April 1, 2026, 5:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f411bb2c819091b67c70956c546b |
completed | April 4, 2026, 11:20 a.m. |
Created at: March 30, 2026, 7:43 p.m.