Triple
T1541539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claro River |
E32876
|
entity |
| Predicate | nameMeaningInSpanish |
P1966
|
FINISHED |
| Object | clear river |
—
|
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: clear river | Statement: [Claro River, nameMeaningInSpanish, clear river]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameMeaningInSpanish Context triple: [Claro River, nameMeaningInSpanish, clear river]
-
A.
currentNameMeaning
Indicates that the predicate expresses the meaning or significance of an entity’s current name.
-
B.
hasNameInSpanish
Indicates that an entity is associated with a specific name expressed in the Spanish language.
-
C.
fractionalNameInSpanish
Indicates that an entity’s fractional value is expressed or named in the Spanish language.
-
D.
hasGivenNameMeaning
Indicates that a given name carries a particular meaning or semantic interpretation.
-
E.
meaningOfNativeName
chosen
Indicates that one entity specifies the semantic meaning or translation of another entity’s native-language name.
- 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_69a885ed29088190a3c2d5a3d100c16e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa95c1a2948190a2b98469afec1a7d |
completed | March 6, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69a907b2453c8190a41f6b88c8217d1e |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.