Triple
T183068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washington Senators (1961–1971) |
E3918
|
entity |
| Predicate | finalHomeGameResult |
P6581
|
FINISHED |
| Object | forfeit loss |
—
|
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: forfeit loss | Statement: [Washington Senators (1961–1971), finalHomeGameResult, forfeit loss]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalHomeGameResult Context triple: [Washington Senators (1961–1971), finalHomeGameResult, forfeit loss]
-
A.
finalScore
Indicates the resulting or overall score achieved after all contributing actions, events, or evaluations are completed.
-
B.
finalHostTeam
Indicates that a team is designated as the host team for the final match or final stage of a competition.
-
C.
lastGameDate
Indicates the date on which the most recent game involving the given entity took place.
-
D.
decidingGameWinner
Indicates that an event, action, or process determines which participant is the winner of a game.
-
E.
game1Winner
Indicates which participant or team won the first game in a series or match.
- 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_69a25497e2f08190a040f8c6e1842643 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a2592516748190a85ae58eec191f14 |
completed | Feb. 28, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69a2566dfc388190988b1b42d5daaafe |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a257e763d081908c54ad57d8d3060d |
completed | Feb. 28, 2026, 2:50 a.m. |
Created at: Feb. 28, 2026, 2:40 a.m.