Triple
T11128705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | São Gabriel |
E263216
|
entity |
| Predicate | sailedUnder |
P45897
|
FINISHED |
| Object | Portuguese flag |
—
|
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: Portuguese flag | Statement: [São Gabriel, sailedUnder, Portuguese flag]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sailedUnder Context triple: [São Gabriel, sailedUnder, Portuguese flag]
-
A.
sailingUnder
chosen
Indicates that one entity (typically a vessel) is operating or traveling while registered, flagged, or officially recognized under the authority or jurisdiction of another entity (such as a country or organization).
-
B.
sailedFor
Indicates that an entity departed by ship with the destination or intended service being another specified entity.
-
C.
fleetFlagshipOf
Indicates that one entity serves as the primary or leading flagship of a particular fleet.
-
D.
shipName
Indicates the name assigned to a specific ship in the relationship.
-
E.
fleetName
Indicates the name assigned to a particular fleet within a system or context.
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e830e804819097fcc3826d84dab8 |
completed | April 9, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69d7441efe948190ae4ab020121e169d |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:28 p.m.