Triple
T21453299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aidos |
E529271
|
entity |
| Predicate | mentionedBy |
P831
|
FINISHED |
| Object | Plato |
—
|
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: Plato | Statement: [Aidos, mentionedBy, Plato]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plato Context triple: [Aidos, mentionedBy, Plato]
-
A.
Plato
Plato is a municipality in Colombia’s Magdalena Department, known for its location in the Caribbean region and its role as a local administrative and commercial center.
-
B.
Plato
chosen
Plato was an ancient Greek philosopher, a student of Socrates and teacher of Aristotle, whose dialogues and ideas laid the foundations of Western philosophy.
-
C.
Platone
Platone is a river in Latvia that serves as one of the tributaries feeding into the larger Lielupe River system.
-
D.
Platon
Platon is a Greek surname most notably associated with Nikolaos Platon, a prominent archaeologist known for his work on Minoan civilization.
-
E.
Socrate
Socrate is a minimalist, three-part vocal work by French composer Erik Satie, based on dialogues of Plato and noted for its serene, understated setting of the text.
- 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d50b88819081a771596d0a2b2b |
completed | April 23, 2026, 9:43 a.m. |
Created at: April 16, 2026, 6:07 p.m.