Triple
T36887241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Μίλων ὁ Κροτωνιάτης |
E911642
|
entity |
| Predicate | victoryCountOlympiaWrestling |
P186646
|
FINISHED |
| Object | 6 (traditional count) |
—
|
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: 6 (traditional count) | Statement: [Μίλων ὁ Κροτωνιάτης, victoryCountOlympiaWrestling, 6 (traditional count)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: victoryCountOlympiaWrestling Context triple: [Μίλων ὁ Κροτωνιάτης, victoryCountOlympiaWrestling, 6 (traditional count)]
-
A.
victoryCountOlympia
chosen
Indicates the number of victories an entity has achieved at the Olympic Games.
-
B.
numberOfMrOlympiaTitles
Indicates the number of Mr. Olympia bodybuilding titles that an individual has won.
-
C.
wrestlingArena
Indicates a location where wrestling matches or related wrestling activities take place.
-
D.
wrestledFor
Indicates that one entity engaged in a wrestling match or competition on behalf of, or as a representative of, another entity (such as a team, organization, or country).
-
E.
wrestlingPromotion
Indicates a relationship where an organization operates as a professional wrestling promotion, managing and presenting wrestling events or shows.
- 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_69fa0a7b00948190a257273d9968c5d7 |
completed | May 5, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f9fec9c9488190ae2a349651a02782 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:13 p.m.