Triple
T12869271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Pearl |
E307804
|
entity |
| Predicate | speedComparedToOtherShips |
P107377
|
FINISHED |
| Object | fastest ship in the Caribbean (in-universe reputation) |
—
|
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: fastest ship in the Caribbean (in-universe reputation) | Statement: [Black Pearl, speedComparedToOtherShips, fastest ship in the Caribbean (in-universe reputation)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: speedComparedToOtherShips Context triple: [Black Pearl, speedComparedToOtherShips, fastest ship in the Caribbean (in-universe reputation)]
-
A.
cruiseSpeed
Indicates the typical or optimal speed at which an entity is intended to travel under normal operating conditions.
-
B.
shipRate
Indicates the cost or pricing applied to shipping goods or items between parties.
-
C.
shipLength
Indicates the physical length measurement of a ship.
-
D.
shipClass
Indicates the classification or type category to which a particular ship belongs.
-
E.
laterShipType
Indicates that one ship type chronologically succeeds or is introduced after another ship type.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97c7f91d08190aac2f6419d3ba992 |
completed | April 10, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69d96fa55b888190ab1612e93c41aec4 |
completed | April 10, 2026, 9:46 p.m. |
| PDg | Predicate description generation | batch_69d97c7d0598819080cab0a2314bc106 |
completed | April 10, 2026, 10:41 p.m. |
Created at: April 9, 2026, 5:38 p.m.