Triple
T4216827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Infante of Portugal |
E94237
|
entity |
| Predicate | titleInMonarchy |
P10605
|
FINISHED |
| Object | princely title |
—
|
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: princely title | Statement: [Infante of Portugal, titleInMonarchy, princely title]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleInMonarchy Context triple: [Infante of Portugal, titleInMonarchy, princely title]
-
A.
styleOfMonarchTitle
Indicates the specific formal style or wording used in the official title of a monarch.
-
B.
titleHeldByRulers
chosen
Indicates that a specific title is or was borne by one or more rulers.
-
C.
representativeOfMonarchTitle
Indicates that one entity serves as the official representative or holder of authority on behalf of a monarch’s title.
-
D.
headOfStateTitle
Indicates the official title held by the person who serves as the head of state of a country or political entity.
-
E.
monarchTitleAtCoronation
Indicates the specific royal title a monarch held at the moment of their coronation.
- 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.