Triple
T36887244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Μίλων ὁ Κροτωνιάτης |
E911642
|
entity |
| Predicate | victoryCountNemeanGames |
P187621
|
FINISHED |
| Object | multiple (traditional) |
—
|
LITERAL 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: multiple (traditional) | Statement: [Μίλων ὁ Κροτωνιάτης, victoryCountNemeanGames, multiple (traditional)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: victoryCountNemeanGames Context triple: [Μίλων ὁ Κροτωνιάτης, victoryCountNemeanGames, multiple (traditional)]
-
A.
victoryCountOlympia
Indicates the number of victories an entity has achieved at the Olympic Games.
-
B.
medalsCountedFor
Indicates that certain medals are included in the official tally or total attributed to an entity.
-
C.
winnerCount
Indicates the number of entities that are designated as winners in a given context or event.
-
D.
olympicGamesNumber
Indicates the specific edition number assigned to a particular occurrence of the Olympic Games.
-
E.
olympicGames
Indicates that an entity is an edition or instance of the Olympic Games event.
- F. None of above. chosen
Provenance (4 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_69f76e8335908190b77e7e11d0e80820 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
| PDg | Predicate description generation | batch_69fb6fdab95c81909acff3c6a2359787 |
completed | May 6, 2026, 4:44 p.m. |
Created at: May 3, 2026, 4:13 p.m.