Triple
T10013408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jewel House |
E199428
|
entity |
| Predicate | primaryMaterialOnDisplay |
P91548
|
FINISHED |
| Object | gold regalia |
—
|
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: gold regalia | Statement: [Jewel House, primaryMaterialOnDisplay, gold regalia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryMaterialOnDisplay Context triple: [Jewel House, primaryMaterialOnDisplay, gold regalia]
-
A.
primaryProduct
Indicates that one entity is the main or most important product associated with, produced by, or offered by another entity.
-
B.
primaryTargetMaterial
Indicates the material that serves as the main or principal target in a given process, action, or interaction.
-
C.
materialUsed
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
D.
featuresMaterialFrom
Indicates that one entity incorporates, contains, or is composed of material originating from another entity.
-
E.
materialDepicted
Indicates that a work or representation visually portrays or includes a particular material as part of its subject.
- F. None of above. chosen
Provenance (4 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_69ca8315a1a08190ab310f25620f362b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd3e35508190920468be167cb708 |
completed | April 2, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69cd1da2cf9081908a6c0eb5247d0bc2 |
completed | April 1, 2026, 1:29 p.m. |
| PDg | Predicate description generation | batch_69cd3584b2b4819096ff2625a7f5f1b5 |
completed | April 1, 2026, 3:11 p.m. |
Created at: March 30, 2026, 8:52 p.m.