Triple
T8073523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Region Nordjylland |
E188433
|
entity |
| Predicate | containsGeographicalArea |
P78492
|
FINISHED |
| Object | Thy |
E686994
|
NE 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: Thy | Statement: [Region Nordjylland, containsGeographicalArea, Thy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thy Context triple: [Region Nordjylland, containsGeographicalArea, Thy]
-
A.
Thy
chosen
Thy is a coastal region in northwestern Jutland, Denmark, known for its wild North Sea landscapes, dunes, and national park areas.
-
B.
Thery
Thery is a central figure in Edgar Wallace’s crime novel "The Four Just Men," involved in the group’s vigilante quest for justice.
-
C.
Tyto
Tyto is a genus of medium-sized owls best known for including the widespread barn owl and its close relatives.
-
D.
Heed
Heed is the fiercely loyal yet conflicted protagonist of Toni Morrison’s novel "Love," whose lifelong bond and rivalry with her friend Christine drive much of the story’s emotional and thematic tension.
-
E.
Thio
Thio is a commune in the South Province of New Caledonia, known historically for its nickel mining industry.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca82b50c708190863f661d438e68df |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb404a98408190b6c8eecb95ad086d |
completed | March 31, 2026, 3:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63ecb04881909b1849dc4ef7c2bc |
completed | April 1, 2026, 12:16 a.m. |
Created at: March 30, 2026, 5:27 p.m.