Triple
T11707913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish Road |
E278294
|
entity |
| Predicate | nameLanguageOfCaminoEspañol |
P12773
|
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: [Spanish Road, nameLanguageOfCaminoEspañol, Spanish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameLanguageOfCaminoEspañol Context triple: [Spanish Road, nameLanguageOfCaminoEspañol, Spanish]
-
A.
hasNameInSpanish
chosen
Indicates that an entity is associated with a specific name expressed in the Spanish language.
-
B.
hasNameInCatalan
Indicates that an entity is associated with a specific name expressed in the Catalan language.
-
C.
hasSpanishLanguageVersion
Indicates that an entity has a corresponding version or representation available in the Spanish language.
-
D.
hasLongNameInSpanish
Indicates that an entity is known by a long or extended name when expressed in the Spanish language.
-
E.
historicalNameInSpanish
Indicates that an entity is known or referred to by a particular historical name when expressed in the Spanish language.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a49de0388190a063739426bf90e8 |
completed | April 10, 2026, 7:19 a.m. |
| PD | Predicate disambiguation | batch_69d88a7d483081909c2a101087515d74 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:40 p.m.