Triple
T2063629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francis, Duke of Teck |
E45846
|
entity |
| Predicate | social rank |
P22188
|
FINISHED |
| Object | aristocracy |
—
|
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: aristocracy | Statement: [Francis, Duke of Teck, social rank, aristocracy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: social rank Context triple: [Francis, Duke of Teck, social rank, aristocracy]
-
A.
SSRank
chosen
Indicates a ranking relationship that orders entities based on their social status, standing, or relative importance within a specified context.
-
B.
rankingImpact
Indicates how an entity’s position or level in a ranking is affected or influenced by another factor or action.
-
C.
usesRank
Indicates that one entity applies or relies on a ranking or ordered level system associated with another entity.
-
D.
usesRankStructure
Indicates that an entity organizes its members or components according to a defined hierarchical rank structure.
-
E.
socialContribution
Indicates that an entity engages in actions or provides resources that benefit society or a community beyond its own direct interests.
- 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_69a8891b38288190abd572ccad9b6928 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9d3a92081909416c1d087876e99 |
completed | March 7, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69abb7aee9b48190999620176e3a6ee2 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:40 p.m.