Triple
T1960021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa María |
E42362
|
entity |
| Predicate | largestOfFleet |
P4495
|
FINISHED |
| Object | Columbus's three ships in 1492 |
—
|
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: Columbus's three ships in 1492 | Statement: [Santa María, largestOfFleet, Columbus's three ships in 1492]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: largestOfFleet Context triple: [Santa María, largestOfFleet, Columbus's three ships in 1492]
-
A.
fleetSize
Indicates the total number of vehicles, vessels, or units that collectively make up a fleet associated with an entity.
-
B.
maximumShipBeam
Indicates the greatest allowable or observed width of a ship across its widest point.
-
C.
isLargestOf
chosen
Indicates that one entity has the greatest size, extent, or magnitude among a specified set of entities.
-
D.
maximumVesselType
Indicates the highest or largest class, size, or category of vessel that is allowed, applicable, or associated in a given context.
-
E.
maximumVesselLength
Indicates the greatest allowable or observed length of a vessel in a given context or constraint.
- 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_69a8870eea088190a38781990812a9bc |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb68a8e608190bc37a85913b3cd44 |
completed | March 7, 2026, 5:24 a.m. |
| PD | Predicate disambiguation | batch_69abaff5dbd48190a9d36ca60de151db |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.