Triple
T18707129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josefsplatz |
E457399
|
entity |
| Predicate | primaryBuildingMaterialOfSurroundings |
P112810
|
FINISHED |
| Object | stone |
—
|
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: stone | Statement: [Josefsplatz, primaryBuildingMaterialOfSurroundings, stone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryBuildingMaterialOfSurroundings Context triple: [Josefsplatz, primaryBuildingMaterialOfSurroundings, stone]
-
A.
streetMaterial
Indicates the material composition from which a street or road surface is made.
-
B.
مادة البناء
chosen
Indicates a relationship where something serves as, or is used as, a construction material in building or structural work.
-
C.
exteriorMaterial
Indicates the material that forms the outer surface or outer construction of an object or structure.
-
D.
foundationMaterial
Indicates the material from which the foundation or base of something is constructed.
-
E.
hasFloorMaterial
Indicates that an entity’s floor is made of, covered with, or constructed from a specified material.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e567185c648190848ca47498eb56b3 |
completed | April 19, 2026, 11:36 p.m. |
| PD | Predicate disambiguation | batch_69e478de85088190ba5f005f1d39f587 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:50 a.m.