Triple
T3887238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nao Victoria Museum |
E92970
|
entity |
| Predicate | hasReplicaType |
P16046
|
FINISHED |
| Object | full-scale ship replicas |
—
|
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: full-scale ship replicas | Statement: [Nao Victoria Museum, hasReplicaType, full-scale ship replicas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReplicaType Context triple: [Nao Victoria Museum, hasReplicaType, full-scale ship replicas]
-
A.
hasReplicaDisplays
chosen
Indicates that an entity features or presents one or more replica items as displays.
-
B.
replicaOf
Indicates that one entity is an exact or near-exact copy of another entity, preserving its form, structure, or content.
-
C.
hasRecordType
Indicates that an entity is associated with or classified under a specific type or category of record.
-
D.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
E.
hasMemberType
Indicates that an entity includes or is associated with members belonging to a specified type or category.
- 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_69aed9697de0819087c2559295ff3d12 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeecabe3548190a5cbf9d0af0bcfb6 |
completed | March 9, 2026, 3:52 p.m. |
| PD | Predicate disambiguation | batch_69aee759609c8190985e96ec6d96dedd |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:20 p.m.