Triple
T20674130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fountain of the Frogs |
E508114
|
entity |
| Predicate | isKnownIn |
P65126
|
FINISHED |
| Object | Spanish-speaking regions |
—
|
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-speaking regions | Statement: [Fountain of the Frogs, isKnownIn, Spanish-speaking regions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isKnownIn Context triple: [Fountain of the Frogs, isKnownIn, Spanish-speaking regions]
-
A.
knownIn
chosen
Indicates that an entity is recognized, acknowledged, or familiar within a particular context, domain, or group.
-
B.
segmentKnownFor
Indicates that a specific segment or portion of something is recognized or notable for a particular characteristic, feature, or association.
-
C.
wasRecognizedIn
Indicates that an entity received acknowledgment, credit, or an award within a specified context, event, or time frame.
-
D.
knownInLanguage
Indicates that an entity is recognized, named, or expressed in a particular language.
-
E.
namedForKnownFor
Indicates that one entity is named after another entity specifically because that other entity is notable or recognized for something.
- 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_69e0b4c1164881909a3bf1e3ddb2bc32 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5cca8808190a60ee28c7ea46412 |
completed | April 20, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69e5c03caee881908be4dd25796a03d5 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 11:44 a.m.