Triple
T98787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orteig Prize |
E1992
|
entity |
| Predicate | winningDirection |
P1101
|
FINISHED |
| Object | New York to Paris |
—
|
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: New York to Paris | Statement: [Orteig Prize, winningDirection, New York to Paris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winningDirection Context triple: [Orteig Prize, winningDirection, New York to Paris]
-
A.
winningTeam
Indicates which team is the victor in a given competition, game, or contest.
-
B.
decidingGameWinner
Indicates that an event, action, or process determines which participant is the winner of a game.
-
C.
gameWinningScoreType
Indicates the type or category of score (e.g., goal, point, run) that results in winning a game.
-
D.
gameWinningKicker
Indicates that an entity serves as the kicker responsible for securing the decisive, game-winning score in a contest.
-
E.
orientation
chosen
Indicates the relative directional alignment or facing of one entity with respect to another or to a reference frame.
- 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a24ff07d148190a59aee12c807659d |
completed | Feb. 28, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69a24ebe7b1c8190a6bfbf31dc7c7f07 |
completed | Feb. 28, 2026, 2:11 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.