Triple
T21545994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tillamook people |
E531622
|
entity |
| Predicate | materialUsedForDwellings |
P107837
|
FINISHED |
| Object | cedar planks |
—
|
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: cedar planks | Statement: [Tillamook people, materialUsedForDwellings, cedar planks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: materialUsedForDwellings Context triple: [Tillamook people, materialUsedForDwellings, cedar planks]
-
A.
materialUsed
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
B.
مادة البناء
Indicates a relationship where something serves as, or is used as, a construction material in building or structural work.
-
C.
hasBuildingMaterialInHut
chosen
Indicates that a hut is constructed using a specified building material.
-
D.
roofMaterialTypical
Indicates the material that is most commonly or characteristically used for the roof of a given structure or building type.
-
E.
brickTypeUsedFor
Indicates that a particular type of brick is used for constructing or forming a specified object, structure, or component.
- 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_69e0c45f17148190949c330ab9c27706 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeb58ef2548190a81ff51baba76e48 |
completed | April 27, 2026, 1:02 a.m. |
| PD | Predicate disambiguation | batch_69e6320766308190ba5dca2f7c826aa4 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:28 p.m.