Triple
T15108100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parthenon cella |
E360840
|
entity |
| Predicate | roofCovering |
P64883
|
FINISHED |
| Object | marble 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: marble tiles | Statement: [Parthenon cella, roofCovering, marble tiles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roofCovering Context triple: [Parthenon cella, roofCovering, marble tiles]
-
A.
hasTypeOfRoof
Indicates that an entity possesses or is characterized by a specific kind or style of roof.
-
B.
roofOptions
Indicates the available types or configurations of roofs that can be selected or applied to an entity.
-
C.
roofMaterialOriginal
Indicates the material that was originally used to construct the roof of a structure.
-
D.
hasCoverings
chosen
Indicates that one entity possesses or is equipped with protective or enclosing layers, surfaces, or coverings provided by another entity.
-
E.
roofStructures
Indicates a relationship where one entity consists of, includes, or is associated with roof-related structural elements of another entity.
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0058af8988190977d998f85893836 |
completed | April 15, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69deb96c1d9c81909351558ed97bc5b7 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:05 a.m.