Triple
T34813060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rex Aragonum |
E1003551
|
entity |
| Predicate | correspondingVernacularTitle |
P89513
|
FINISHED |
| Object | Rey de Aragón |
—
|
NE NERFINISHED |
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: Rey de Aragón | Statement: [Rex Aragonum, correspondingVernacularTitle, Rey de Aragón]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: correspondingVernacularTitle Context triple: [Rex Aragonum, correspondingVernacularTitle, Rey de Aragón]
-
A.
titleInLocalLanguage
Indicates that an entity’s title is expressed in the primary or native language of a specified place or community.
-
B.
titleInLanguage
chosen
Indicates that a specific title or name is expressed in a particular language.
-
C.
originalLanguageTitle
Indicates the title of a work as it appears in its original language of creation or publication.
-
D.
cultTitleLanguage
Indicates the language in which a cult title or religious honorific is expressed.
-
E.
languageOfAlternativeTitle
Indicates the language in which an alternative or variant title of an entity is expressed.
- 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_69f76db600b88190989abdf08fce3b27 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f782f4f10081908f97f6d0d2dbeec7 |
completed | May 3, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69f780ff71cc8190a67e71076fbad81a |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 3:59 p.m.