Triple
T37777234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enxaimel (half-timbered) style |
E941719
|
entity |
| Predicate | typicalRoofCovering |
P142395
|
FINISHED |
| Object | clay tiles |
—
|
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: clay tiles | Statement: [Enxaimel (half-timbered) style, typicalRoofCovering, clay tiles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalRoofCovering Context triple: [Enxaimel (half-timbered) style, typicalRoofCovering, clay tiles]
-
A.
roofMaterialTypical
chosen
Indicates the material that is most commonly or characteristically used for the roof of a given structure or building type.
-
B.
roofTypeTypical
Indicates that a specified roof type is the common or characteristic roof style typically found for a given context or entity.
-
C.
hasTypeOfRoof
Indicates that an entity possesses or is characterized by a specific kind or style of roof.
-
D.
roofMaterialCalled
Indicates that a roof’s material is referred to or named by a specific term.
-
E.
roofMaterialOriginal
Indicates the material that was originally used to construct the roof of a structure.
- 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_69f76ee4431881908f87e8892a9f39f3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:19 p.m.