Triple
T35251384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duke of Terceira |
E1018100
|
entity |
| Predicate | notableHolderSupported |
P206891
|
FINISHED |
| Object | Queen Maria II of Portugal |
E115544
|
NE 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: Queen Maria II of Portugal | Statement: [Duke of Terceira, notableHolderSupported, Queen Maria II of Portugal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableHolderSupported Context triple: [Duke of Terceira, notableHolderSupported, Queen Maria II of Portugal]
-
A.
notableHolder
Indicates that a person or entity is a distinguished or prominent holder of a particular position, title, or role.
-
B.
notableHolderDescription
Indicates a descriptive statement about a person or entity that is notably associated with holding a particular position, title, or role.
-
C.
notableSupport
Indicates that one entity provides significant, recognized backing, endorsement, or assistance to another.
-
D.
notableModernHolderStatus
Indicates that an entity holds, in modern times, a particularly prominent or noteworthy instance or example of another entity.
-
E.
notableHolderFullStyle
Indicates that a person is a notable holder of a title, position, or honor, expressed using their full formal style.
- F. None of above. chosen
Provenance (5 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_69f76de407d081909dfc3c419817ae93 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38401b5e848190a26c758ab8a0c163 |
completed | June 21, 2026, 7:48 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:02 p.m.