Triple
T26660512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marblehead Race Week |
E666629
|
entity |
| Predicate | drawsBoatsFrom |
P162349
|
FINISHED |
| Object | other U.S. sailing regions |
—
|
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: other U.S. sailing regions | Statement: [Marblehead Race Week, drawsBoatsFrom, other U.S. sailing regions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drawsBoatsFrom Context triple: [Marblehead Race Week, drawsBoatsFrom, other U.S. sailing regions]
-
A.
drawsBoatsFrom
Indicates that one entity creates or produces drawings or illustrations of boats originating from another entity.
-
B.
numberOfBoatsWidth
Indicates the count of boats arranged or present across the width of a given area or span.
-
C.
approximateNumberOfBoats
Indicates an estimated or roughly counted quantity of boats associated with an entity.
-
D.
seventhBoat
Indicates that an entity is identified specifically as the seventh boat in an ordered sequence or group of boats.
-
E.
boatStudio
Indicates a relationship where a boat is associated with, produced by, or represented by a particular studio or production company.
- 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_69ee9cf8c7188190b9b00270a8a89164 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f62e4168a48190b45268f922780da6 |
completed | May 2, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69f62c15952881908a5ea0c25904afec |
completed | May 2, 2026, 4:53 p.m. |
| PDg | Predicate description generation | batch_69f62d5268ac8190835dc7119353b840 |
completed | May 2, 2026, 4:58 p.m. |
Created at: April 27, 2026, 2:36 a.m.