Triple
T17425357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cap de la Hague |
E423724
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | La Hague |
—
|
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: La Hague | Statement: [Cap de la Hague, partOf, La Hague]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Hague Context triple: [Cap de la Hague, partOf, La Hague]
-
A.
La Hague
chosen
La Hague is a coastal commune in northwestern France known for its rugged cliffs, scenic landscapes, and proximity to major nuclear reprocessing facilities.
-
B.
Hague
Hague is a British Conservative politician and life peer who served as Leader of the Opposition and later as Foreign Secretary of the United Kingdom.
-
C.
Skanderborg
Skanderborg is a Danish town in Jutland known for its lakeside setting and annual music festival, Smukfest.
-
D.
Esbjerg
Esbjerg is a major Danish port city on the North Sea, known for its offshore oil and wind industry, maritime heritage, and role as a regional economic center in western Jutland.
-
E.
Marienborg
Marienborg is the official country residence of Denmark’s prime minister, used for governmental meetings and official functions outside central Copenhagen.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e448fbfda88190be1c001d64289bf7 |
completed | April 19, 2026, 3:16 a.m. |
Created at: April 10, 2026, 5:46 a.m.