Triple
T2016678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iberian Union |
E44009
|
entity |
| Predicate | notableRulerTitle |
P10605
|
FINISHED |
| Object | King of Spain and Portugal |
—
|
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: King of Spain and Portugal | Statement: [Iberian Union, notableRulerTitle, King of Spain and Portugal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableRulerTitle Context triple: [Iberian Union, notableRulerTitle, King of Spain and Portugal]
-
A.
titleHeldByRulers
chosen
Indicates that a specific title is or was borne by one or more rulers.
-
B.
emperorTitle
Indicates that one entity holds the title or rank of emperor in relation to another entity.
-
C.
notableMonarch
Indicates that the subject is a monarch who is distinguished or historically significant in some notable way.
-
D.
headOfStateTitle
Indicates the official title held by the person who serves as the head of state of a country or political entity.
-
E.
hasFamousRuler
Indicates that an entity is or was ruled by a ruler who is widely recognized or historically notable.
- 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_69a8891201bc8190aca837be6de41579 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb8ccdb7c81909f6b3c96f79fcdfc |
completed | March 7, 2026, 5:34 a.m. |
| PD | Predicate disambiguation | batch_69abb7a03a1c81909ad50d56667db2d5 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:38 p.m.