Triple
T17407613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geißenklösterle |
E423259
|
entity |
| Predicate | materialUsedForArt |
P18308
|
FINISHED |
| Object | mammoth ivory |
—
|
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: mammoth ivory | Statement: [Geißenklösterle, materialUsedForArt, mammoth ivory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: materialUsedForArt Context triple: [Geißenklösterle, materialUsedForArt, mammoth ivory]
-
A.
materialUsed
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
B.
artisticMedium
chosen
Indicates the material or technique used to create an artwork or artistic expression.
-
C.
materialDepicted
Indicates that a work or representation visually portrays or includes a particular material as part of its subject.
-
D.
materialFormedIn
Indicates that a material is created, produced, or formed within a specified process, environment, or context.
-
E.
artSpecialty
Indicates that an entity’s primary focus, expertise, or specialization is in a particular art form or artistic domain.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b08d5a881909e7a5b2ae2c60898 |
completed | April 19, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69e3b02e6cc88190986e85e64ce9383e |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:46 a.m.