Triple
T35629987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russia national athletics team |
E1029555
|
entity |
| Predicate | hasNotableAthletes |
P10392
|
FINISHED |
| Object | Yelena Isinbayeva |
E359153
|
NE 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: Yelena Isinbayeva | Statement: [Russia national athletics team, hasNotableAthletes, Yelena Isinbayeva]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableAthletes Context triple: [Russia national athletics team, hasNotableAthletes, Yelena Isinbayeva]
-
A.
hasNotablePlayer
Indicates that an entity (such as a team or club) is associated with a player who is particularly distinguished, famous, or significant in its context.
-
B.
hasNotableAthleteTrained
Indicates that one entity (typically a coach, club, or institution) has trained a particular athlete who is considered notable or distinguished.
-
C.
hasNotableSportAlumnus
Indicates that an institution or organization has at least one alumnus who is notable for achievements in sports.
-
D.
notableAthlete
chosen
Indicates that the subject is a well-known or distinguished athlete associated with the object (such as a sport, team, or organization).
-
E.
hasAthlete
Indicates a relationship where an entity (such as a team, organization, or event) includes or is associated with one or more athletes.
- F. None of above.
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_69f76e07bb0c8190968ea2d836fc42c9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38684ee5d88190a8d0fd33fd0f8681 |
completed | June 21, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:05 p.m.