Triple
T19502213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Laguna |
E487930
|
entity |
| Predicate | regionalNameMeaning |
P74345
|
FINISHED |
| Object | the lagoon |
—
|
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: the lagoon | Statement: [La Laguna, regionalNameMeaning, the lagoon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionalNameMeaning Context triple: [La Laguna, regionalNameMeaning, the lagoon]
-
A.
toponymLiteralMeaning
chosen
Indicates the literal or etymological meaning of a place name (toponym), describing what the name directly translates to or signifies.
-
B.
hasRegionalName
Indicates that an entity is known by a specific name or designation within a particular region or locality.
-
C.
currentNameMeaning
Indicates that the predicate expresses the meaning or significance of an entity’s current name.
-
D.
meaningOfNativeName
Indicates that one entity specifies the semantic meaning or translation of another entity’s native-language name.
-
E.
alternativeNameMeaning
Indicates that one entity expresses the meaning or interpretation of an alternative name used for 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6350dbae08190bea7fc3e3eb95c3c |
completed | April 20, 2026, 2:15 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7bd25881908caa04eaef1f6718 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:40 p.m.