Triple
T37095997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iditarod Trail Sled Dog Race 2013 |
E918564
|
entity |
| Predicate | winnerResidence |
P192332
|
FINISHED |
| Object | Seward, Alaska |
—
|
NE NERFINISHED |
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: Seward, Alaska | Statement: [Iditarod Trail Sled Dog Race 2013, winnerResidence, Seward, Alaska]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winnerResidence Context triple: [Iditarod Trail Sled Dog Race 2013, winnerResidence, Seward, Alaska]
-
A.
winnerWith
Indicates that one entity is the winner in a context or event specifically in association or combination with another entity.
-
B.
winnerAssociated
Indicates that there is a relevant connection or affiliation between a winner and another entity in the context of a particular event or competition.
-
C.
winnerLaterOccupation
Indicates that the person who won a particular event later held a specified occupation.
-
D.
winnerRepresents
Indicates that the winner of a competition or contest serves as a representative for a particular group, organization, or entity.
-
E.
winnerRight
Indicates that the referenced entity is the winner on the right side or right position in a competitive or comparative 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_69f76e9a48bc8190a3947508d8bca408 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd05ba6b2c81909c62b46237d10365 |
completed | May 7, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69fd03039e48819082b6e12c5453885a |
completed | May 7, 2026, 9:24 p.m. |
| PDg | Predicate description generation | batch_69fd05b965608190a3666410b9f8e125 |
completed | May 7, 2026, 9:35 p.m. |
Created at: May 3, 2026, 4:14 p.m.