Triple
T20859571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HNoMS Roald Amundsen |
E513578
|
entity |
| Predicate | constructionSite |
P6549
|
FINISHED |
| Object | Ferrol, Spain |
—
|
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: Ferrol, Spain | Statement: [HNoMS Roald Amundsen, constructionSite, Ferrol, Spain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ferrol, Spain Context triple: [HNoMS Roald Amundsen, constructionSite, Ferrol, Spain]
-
A.
Ferrol
chosen
Ferrol is a coastal city and major naval shipbuilding center in the Galicia region of northwestern Spain.
-
B.
Ferrol
Ferrol is a coastal municipality located on Tablas Island in the province of Romblon in the Philippines.
-
C.
Santpedor, Spain
Santpedor, Spain is a small Catalan town in the province of Barcelona, best known internationally as the birthplace of football manager Pep Guardiola.
-
D.
San Ildefonso, Spain
San Ildefonso, Spain is a historic town in the province of Segovia, best known for the royal palace and gardens of La Granja, a former summer residence of Spanish monarchs.
-
E.
Albolote, Spain
Albolote is a municipality in the province of Granada in southern Spain, known for its proximity to the city of Granada and its mix of residential, agricultural, and industrial areas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3aabef4819098f0fd24dcc27dbd |
completed | April 21, 2026, 12:24 a.m. |
Created at: April 16, 2026, 12:44 p.m.