Triple
T12545840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Mary's Diamond Bandeau tiara |
E299966
|
entity |
| Predicate | hasCentralStoneType |
P105817
|
FINISHED |
| Object | diamonds |
—
|
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: diamonds | Statement: [Queen Mary's Diamond Bandeau tiara, hasCentralStoneType, diamonds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCentralStoneType Context triple: [Queen Mary's Diamond Bandeau tiara, hasCentralStoneType, diamonds]
-
A.
hasRegionalStone
Indicates that something possesses or is associated with a characteristic stone specific to a particular region.
-
B.
hasCentralFigure
Indicates that something features a primary or most important figure at its core or focus.
-
C.
hasCentralLandmark
Indicates that a place or area contains a primary or defining landmark located at or near its center.
-
D.
usesOriginalStones
Indicates that something is constructed or preserved using the same stones that were part of the original structure or artifact.
-
E.
stateGemstone
Indicates a relationship where a state is officially associated with or designated a particular gemstone.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d95410d0b0819097646edd1b837104 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d95f5148948190946a575d812b329d |
completed | April 10, 2026, 8:36 p.m. |
Created at: April 8, 2026, 9:57 p.m.