Triple
T17567967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tappara |
E427864
|
entity |
| Predicate | hasWonTitleInDecade |
P127997
|
FINISHED |
| Object | 1970s |
—
|
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: 1970s | Statement: [Tappara, hasWonTitleInDecade, 1970s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWonTitleInDecade Context triple: [Tappara, hasWonTitleInDecade, 1970s]
-
A.
hasAwardedForDecades
Indicates that an entity has consistently given or granted something (such as an award, honor, or recognition) over a period spanning many decades.
-
B.
hasWorldSeriesTitle
Indicates that an entity (typically a baseball team) has won at least one World Series championship title.
-
C.
pennantClinchedDecade
Indicates that a team secured (clinched) a league pennant at some point during a specified decade.
-
D.
titleHeldInLifetime
Indicates that an entity held a particular title at some point during their lifetime, regardless of when or for how long.
-
E.
hasWonTitleType
Indicates that an entity has won a title of a specified type.
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4592e56e481909249b831cecc31d5 |
completed | April 19, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fd7d048190b54ee4c6155612a5 |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb50b448190a59dd4be33c76db7 |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:50 a.m.