Triple
T22493003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casa de Alba |
E556063
|
entity |
| Predicate | hasTitleCountHighNobility |
P144167
|
FINISHED |
| Object | multiple grandeeships of Spain |
—
|
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: multiple grandeeships of Spain | Statement: [Casa de Alba, hasTitleCountHighNobility, multiple grandeeships of Spain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTitleCountHighNobility Context triple: [Casa de Alba, hasTitleCountHighNobility, multiple grandeeships of Spain]
-
A.
hasNobleTitleCount
chosen
Indicates the number of noble titles that are associated with or held by a given entity.
-
B.
nobleTitleNumber
Indicates the ordinal number or sequence position associated with a person's noble title (e.g., first duke, second baron).
-
C.
nobleTitleElevated
Indicates that an entity’s noble rank or title has been raised to a higher level of nobility.
-
D.
aristocraticTitleStatus
Indicates the status or condition of an entity’s aristocratic or noble title (e.g., whether and how the title is held, recognized, or used).
-
E.
nobleTitleOrStatus
Indicates that one entity holds, claims, or is associated with a particular noble rank, title, or social status in relation to another entity.
- 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_69e11e5445bc8190b6a9481926db3355 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15cb01b3481908a9143503b75167f |
completed | April 29, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69e898be31448190be5ae7f5656f0497 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:49 p.m.