Triple
T28748912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ria da Coruña |
E731460
|
entity |
| Predicate | formsNaturalHarborOf |
P47036
|
FINISHED |
| Object | A Coruña |
—
|
NE NERFINISHED |
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: A Coruña | Statement: [Ria da Coruña, formsNaturalHarborOf, A Coruña]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formsNaturalHarborOf Context triple: [Ria da Coruña, formsNaturalHarborOf, A Coruña]
-
A.
formsNaturalHarborFor
chosen
Indicates that one geographic feature or coastline creates a naturally sheltered harbor area suitable for anchorage for another location or body of water.
-
B.
partOfHarborOrSound
Indicates that one entity is a component, area, or feature within a harbor or sound.
-
C.
harbourName
Indicates the name assigned to a harbour in which an entity is located or associated.
-
D.
stateOfHarbor
Indicates the current operational or physical condition or status of a harbor.
-
E.
shapeOfHarbor
Indicates the geometric form or outline that characterizes a harbor’s physical configuration.
- 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_69f043ecb5c081909ec9da1172d68ece |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
Created at: April 28, 2026, 6:06 a.m.