Triple
T2071444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingdom of Spain |
E44822
|
entity |
| Predicate | isSpanishSpeakingNation |
P11072
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Kingdom of Spain, isSpanishSpeakingNation, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSpanishSpeakingNation Context triple: [Kingdom of Spain, isSpanishSpeakingNation, true]
-
A.
hasSignificantSpanishInfluence
Indicates that one entity has been strongly shaped or notably affected by Spanish culture, language, practices, or presence.
-
B.
hasNameInSpanish
Indicates that an entity is associated with a specific name expressed in the Spanish language.
-
C.
officialNameInSpanish
Indicates the officially recognized name of an entity when expressed in the Spanish language.
-
D.
SpanishEditionURL
Indicates the web address where the Spanish-language edition or version of something can be accessed.
-
E.
countryWithSpeakers
chosen
Indicates that a given country is one in which speakers of a specified language (or languages) are present.
- 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_69a88916c2b48190a5ca2e9b12cad3ed |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba0d20bc8190b19a32157f8b1607 |
completed | March 7, 2026, 5:39 a.m. |
| PD | Predicate disambiguation | batch_69abb7b0edac8190a58eabee55f73deb |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:41 p.m.