Triple
T13971868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oseberg ship burial |
E336083
|
entity |
| Predicate | shipMaterial |
P112002
|
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: [Oseberg ship burial, shipMaterial, oak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shipMaterial Context triple: [Oseberg ship burial, shipMaterial, oak]
-
A.
shipDraft
Indicates the depth of a ship’s hull below the waterline, typically representing how deeply the vessel sits in the water.
-
B.
componentShip
Indicates that one entity is a physical or logical component or part of another entity, such that the whole is composed of or depends on that component.
-
C.
shipUsed
Indicates that a particular ship was employed or utilized in carrying out an event, activity, or operation.
-
D.
organizedShip
Indicates that an entity arranged, managed, or coordinated the operation or voyage of a ship.
-
E.
militaryCargoOnBoard
Indicates that a vehicle, vessel, or aircraft is currently carrying military-related cargo on board.
- F. None of above. chosen
Provenance (4 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8eae40819080dd4bd25c73b6d6 |
completed | April 14, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69dd465a21408190b912a42c50ffa0d9 |
completed | April 13, 2026, 7:39 p.m. |
| PDg | Predicate description generation | batch_69de01ed2098819088ec45069f6f2609 |
completed | April 14, 2026, 8:59 a.m. |
Created at: April 9, 2026, 10:18 p.m.