Triple
T4216826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Infante of Portugal |
E94237
|
entity |
| Predicate | nobleRankCategory |
P9679
|
FINISHED |
| Object | high nobility |
—
|
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: high nobility | Statement: [Infante of Portugal, nobleRankCategory, high nobility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nobleRankCategory Context triple: [Infante of Portugal, nobleRankCategory, high nobility]
-
A.
nobleRankType
Indicates the specific category or level of nobility associated with an entity within a hierarchical noble rank system.
-
B.
nobleRankAbove
Indicates that one entity holds a higher noble rank or title in a hierarchy than another entity.
-
C.
nobleRankInScotland
Indicates that an entity holds or is associated with a specific noble rank within the Scottish system of nobility.
-
D.
nobilityClass
chosen
Indicates that an entity belongs to, or is associated with, a particular class or rank within a nobility hierarchy.
-
E.
hasRankCategory
Indicates that an entity is assigned to a particular rank-based classification or level within an ordered hierarchy.
- 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_69b3451997e08190851db4a9a588837d |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b34e4bf6088190926b982039a12079 |
completed | March 12, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69b347f1d7b48190bd8974c03c7dc937 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:04 p.m.