Triple
T23652833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newport to Ensenada International Yacht Race |
E584212
|
entity |
| Predicate | approximateNumberOfBoats |
P153048
|
FINISHED |
| Object | hundreds of boats |
—
|
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: hundreds of boats | Statement: [Newport to Ensenada International Yacht Race, approximateNumberOfBoats, hundreds of boats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateNumberOfBoats Context triple: [Newport to Ensenada International Yacht Race, approximateNumberOfBoats, hundreds of boats]
-
A.
numberOfBoatsWidth
Indicates the count of boats arranged or present across the width of a given area or span.
-
B.
hasNumberOfBoathouses
Indicates the quantity of boathouses associated with a given entity.
-
C.
hasFishingBoats
Indicates that one entity possesses, operates, or is associated with one or more fishing boats.
-
D.
numberOfBerths
Indicates the quantity of berths (sleeping places or docking spaces) associated with an entity.
-
E.
hasBoatCapacity
Indicates the maximum number of people or amount of load that a boat is designed or allowed to carry.
- 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_69e248fefafc81909656921192f30e80 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b3599128819092b6a44779889a78 |
completed | April 29, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69f118d7903c8190bb590a71771e93af |
completed | April 28, 2026, 8:30 p.m. |
| PDg | Predicate description generation | batch_69f1233300bc8190ac1639bdca1d7d99 |
completed | April 28, 2026, 9:14 p.m. |
Created at: April 17, 2026, 6:49 p.m.