Triple
T4216844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Infante of Portugal |
E94237
|
entity |
| Predicate | titleTransmission |
P55363
|
FINISHED |
| Object | by birth rather than grant |
—
|
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: by birth rather than grant | Statement: [Infante of Portugal, titleTransmission, by birth rather than grant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleTransmission Context triple: [Infante of Portugal, titleTransmission, by birth rather than grant]
-
A.
title
Indicates that one entity serves as the formal name or designation of another entity.
-
B.
titles
Indicates that one entity holds a formal title, designation, or name associated with another entity.
-
C.
titleType
Indicates the specific category or kind of title associated with an entity (e.g., whether it is a main title, alternative title, working title, etc.).
-
D.
titleInEnglish
Indicates that an entity’s title or name is given in the English language.
-
E.
titleTheme
Indicates that a work’s title reflects, expresses, or is thematically centered on a particular theme.
- 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_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. |
| PDg | Predicate description generation | batch_69b34e4ace648190acf911853d4fcf86 |
completed | March 12, 2026, 11:37 p.m. |
Created at: March 12, 2026, 11:04 p.m.