Triple
T19863173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dike |
E477320
|
entity |
| Predicate | contrastedWith |
P278
|
FINISHED |
| Object | Adikia |
—
|
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: Adikia | Statement: [Dike, contrastedWith, Adikia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adikia Context triple: [Dike, contrastedWith, Adikia]
-
A.
Adikia
chosen
Adikia is the personification of injustice and wrongdoing in Greek mythology, often depicted as the moral opposite of the goddess Dike.
-
B.
Adeia
Adeia, also known as Eurydice II of Macedon, was a Macedonian queen and political figure active during the turbulent succession struggles following Alexander the Great’s death.
-
C.
Adagia
Adagia is a renowned collection of Greek and Latin proverbs compiled and annotated by the Renaissance humanist Desiderius Erasmus.
-
D.
Aridea
Aridea is a town in northern Greece known as a gateway to the Mount Voras (Kaimaktsalan) region and its surrounding natural attractions.
-
E.
Adaja
The Adaja is a river in central Spain that flows through the province of Ávila and ultimately joins the Duero River.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6589c4c0081908cd51ff75441e7ac |
completed | April 20, 2026, 4:47 p.m. |
Created at: April 10, 2026, 1:51 p.m.