Triple
T13460510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vasa (warship) |
E311349
|
entity |
| Predicate | primaryWoodMaterial |
P1272
|
FINISHED |
| Object | oak |
—
|
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: oak | Statement: [Vasa (warship), primaryWoodMaterial, oak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryWoodMaterial Context triple: [Vasa (warship), primaryWoodMaterial, oak]
-
A.
topWood
Indicates that one entity is made of or features a particular type of wood used specifically for its top surface or top section.
-
B.
woodProperty
Indicates that one entity specifies or characterizes a property or attribute of wood associated with another entity.
-
C.
hasBodyWood
Indicates that an entity’s body is made of or primarily composed of wood.
-
D.
materialUsed
chosen
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
E.
isWoodenStructure
Indicates that the subject is a structure primarily made of wood or constructed using wooden components.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf0c177081909178dec61b09c278 |
completed | April 12, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69d9a03dcd0c8190a8927eb4eaad1c45 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:41 p.m.