Triple
T6508222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nolan Arenado |
E150063
|
entity |
| Predicate | teamNumberWithColoradoRockies |
P71271
|
FINISHED |
| Object | 28 |
—
|
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: 28 | Statement: [Nolan Arenado, teamNumberWithColoradoRockies, 28]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamNumberWithColoradoRockies Context triple: [Nolan Arenado, teamNumberWithColoradoRockies, 28]
-
A.
teamNumberWithBostonRedSox
Indicates that an entity has a team number specifically associated with the Boston Red Sox.
-
B.
teamNumberWithLosAngelesDodgers
Indicates that an entity has a team number specifically associated with the Los Angeles Dodgers.
-
C.
RockiesHomeField
Indicates that a specified location serves as the home playing field for the Colorado Rockies baseball team.
-
D.
teamDuringStanleyCups
Indicates the team an entity was associated with during the time of specific Stanley Cup events or seasons.
-
E.
rookieOfTheYearTeam
Indicates that a person received the Rookie of the Year award while playing for a particular team.
- 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69f386aa08190bfc8592a92ec6339 |
completed | March 27, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69c68ab714908190aa7c2fbf64078e15 |
completed | March 27, 2026, 1:48 p.m. |
| PDg | Predicate description generation | batch_69c69f362ee4819090e8fa48caef7d7d |
completed | March 27, 2026, 3:16 p.m. |
Created at: March 27, 2026, 1:43 p.m.