Triple
T4342338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of the Kings |
E97811
|
entity |
| Predicate | originalLanguageOfNickname |
P40387
|
FINISHED |
| Object | Spanish |
—
|
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: Spanish | Statement: [City of the Kings, originalLanguageOfNickname, Spanish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalLanguageOfNickname Context triple: [City of the Kings, originalLanguageOfNickname, Spanish]
-
A.
hasLanguageOfNickname
chosen
Indicates that an entity’s nickname is expressed in, or associated with, a particular language.
-
B.
originalNameLanguage
Indicates that the specified language is the language in which an entity’s original or primary name was expressed.
-
C.
nameInOriginalLanguage
Indicates that an entity’s name is given in its original or native language form.
-
D.
translationOfNickname
Indicates that one name is a translated form of another name that functions as a nickname.
-
E.
isOfficialNicknameOf
Indicates that one name is the formally recognized nickname or informal moniker used to refer to another entity.
- 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_69b34548402c819085ab68b27c235a87 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351878c148190b384053479d41caf |
completed | March 12, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69b34f4fe1c481908d6d66e15697c04b |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:14 p.m.