Triple
T12604408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Saint Helena |
E300939
|
entity |
| Predicate | shipDepicted |
P10237
|
FINISHED |
| Object | three-masted sailing ship |
—
|
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: three-masted sailing ship | Statement: [Coat of arms of Saint Helena, shipDepicted, three-masted sailing ship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shipDepicted Context triple: [Coat of arms of Saint Helena, shipDepicted, three-masted sailing ship]
-
A.
shipRepresents
chosen
Indicates that one entity (typically a ship) serves as a symbol, stand-in, or representation for another entity, concept, or group.
-
B.
shipwrecksDisplayedAt
Indicates that shipwrecks are exhibited or presented at a particular location or venue.
-
C.
shipFeatured
Indicates that a particular ship is highlighted or promoted as a featured item in a given context.
-
D.
shipOwnedOrCommanded
Indicates that an entity either owns a ship or serves as its commanding authority.
-
E.
notableShip
Indicates that there is a notable or significant ship associated with the subject entity.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9559458dc8190bc4d6e697e99d70e |
completed | April 10, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69d9541894fc8190a0c3706a414279f0 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 9, 2026, 5:10 p.m.