Triple
T37001915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2015 Major League Baseball postseason |
E915374
|
entity |
| Predicate | wildCardFormat |
P186898
|
FINISHED |
| Object | one-game playoff |
—
|
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: one-game playoff | Statement: [2015 Major League Baseball postseason, wildCardFormat, one-game playoff]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wildCardFormat Context triple: [2015 Major League Baseball postseason, wildCardFormat, one-game playoff]
-
A.
wildCardContext
Indicates that the relationship or action occurs within a flexible, unspecified, or catch‑all contextual scope rather than a narrowly defined one.
-
B.
wildCardStanding
Indicates that an entity holds a wildcard position or qualification status within a ranking, bracket, or selection process.
-
C.
wildCardRound
Indicates that an entity is involved in, qualifies for, or pertains to a wildcard round, typically an extra or preliminary stage used to determine advancement.
-
D.
includesWildForm
Indicates that something contains or encompasses a wild or non-domesticated form of another entity.
-
E.
languagePattern
Indicates a recurring or structured way in which language is used, organized, or formed within a given context.
- 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_69f76e8f1a8c81909db172ed31304971 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
| PDg | Predicate description generation | batch_69fb154b5f8c819089103b41f51a1639 |
completed | May 6, 2026, 10:17 a.m. |
Created at: May 3, 2026, 4:14 p.m.