Triple
T12604409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Saint Helena |
E300939
|
entity |
| Predicate | shipTypeDepicted |
P24983
|
FINISHED |
| Object | East Indiaman-style 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: East Indiaman-style sailing ship | Statement: [Coat of arms of Saint Helena, shipTypeDepicted, East Indiaman-style sailing ship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shipTypeDepicted Context triple: [Coat of arms of Saint Helena, shipTypeDepicted, East Indiaman-style sailing ship]
-
A.
shipTypeProduced
Indicates that a particular type of ship is produced, built, or manufactured by a given entity.
-
B.
shipClass
Indicates the classification or type category to which a particular ship belongs.
-
C.
shipTypeInvolved
Indicates that a particular type or class of ship is involved or participates in a specified event, situation, or relationship.
-
D.
fleetType
Indicates the category or classification of a fleet to which an entity belongs or with which it is associated.
-
E.
craftType
chosen
Indicates the specific kind or category of craft or vessel associated with an 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.