Triple
T36887243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Μίλων ὁ Κροτωνιάτης |
E911642
|
entity |
| Predicate | victoryCountIsthmianGames |
P27026
|
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, victoryCountIsthmianGames, multiple (traditional)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: victoryCountIsthmianGames Context triple: [Μίλων ὁ Κροτωνιάτης, victoryCountIsthmianGames, multiple (traditional)]
-
A.
victoryCountOlympia
Indicates the number of victories an entity has achieved at the Olympic Games.
-
B.
serviceNumberOfVictories
Indicates the number of victories achieved in the context of a particular service or service-related activity.
-
C.
gamesWonBy
Indicates the number of games that have been won by a particular entity in a given context.
-
D.
numberOfWins
chosen
Indicates the count of times an entity has achieved victory in a relevant context or competition.
-
E.
winnerCount
Indicates the number of entities that are designated as winners in a given context or event.
- F. None of above.
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_69f76e8335908190b77e7e11d0e80820 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb563aec448190875410fb1a3ed624 |
completed | May 6, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69fb35b9ede881908aaae93a215525df |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:13 p.m.