Triple
T16901923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | coat of arms of the British Virgin Islands |
E424457
|
entity |
| Predicate | lampMaterial |
P125134
|
FINISHED |
| Object | gold |
—
|
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 | Statement: [coat of arms of the British Virgin Islands, lampMaterial, gold]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lampMaterial Context triple: [coat of arms of the British Virgin Islands, lampMaterial, gold]
-
A.
shadeMaterial
Indicates that one entity serves as the material or substance used to provide shade for another entity.
-
B.
materialEffect
Indicates that one material causes, influences, or brings about a change in the properties, behavior, or state of another material or system.
-
C.
sphereMaterial
Indicates that a sphere has or is composed of a specified material.
-
D.
materialParameter
Indicates a relationship where a specific parameter or property is associated with, or characterizes, a material in a given context.
-
E.
terrainMaterial
Indicates the type of physical surface or ground substance that composes a given terrain.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3c8dd2bf08190b1dc099e8a23cd04 |
completed | April 18, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69e32b9489408190bcb2ede567ff5bf9 |
completed | April 18, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69e34fb7c8c8819086975b7955b7d8ef |
completed | April 18, 2026, 9:32 a.m. |
Created at: April 10, 2026, 5:29 a.m.