Triple
T1345161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas Rangers |
E28552
|
entity |
| Predicate | worldSeriesWinCount |
P16282
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Texas Rangers, worldSeriesWinCount, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldSeriesWinCount Context triple: [Texas Rangers, worldSeriesWinCount, 1]
-
A.
worldSeriesTitles
Indicates the number of World Series championship titles an entity (typically a baseball team) has won.
-
B.
numberOfWorldSeriesTitles
chosen
Indicates the count of World Series championship titles that an entity (typically a baseball team or player) has won.
-
C.
WorldSeriesAppearanceNumberForWinner
Indicates the ordinal number of times the winning team has appeared in the World Series up to and including that instance.
-
D.
worldSeriesTeams
Indicates a relationship where the specified teams are the ones that competed in a particular World Series event.
-
E.
worldSeriesAppearance
Indicates that an entity (typically a team) has participated in a World Series 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_69a49854eb3481908c7d56b2e449a290 |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c23d696c8190bb688274280cb680 |
completed | March 1, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69a4bef5857c81909ae984feb85a26ca |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:56 p.m.