Triple
T18797035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vendsyssel |
E459660
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object | Hals |
—
|
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: Hals | Statement: [Vendsyssel, hasMajorTown, Hals]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hals Context triple: [Vendsyssel, hasMajorTown, Hals]
-
A.
Hals
Hals is a renowned Dutch Golden Age painter, best known for his lively and expressive portraiture.
-
B.
Hals
chosen
Hals is a small Danish coastal town situated at the eastern entrance of the Limfjord, known for its maritime setting and local harbor.
-
C.
Neckbone
Neckbone is a character in the film "Mud," serving as one of the two young boys who befriend the title character and help drive the story’s coming-of-age narrative.
-
D.
Halske
Halske is a German surname most notably associated with Johann Georg Halske, co-founder of the electrical engineering company Siemens & Halske.
-
E.
Halsua
Halsua is a small rural municipality in western Finland known for its forests, lakes, and traditional Finnish countryside.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a020821881909749f6a1c6cd195b |
completed | April 20, 2026, 3:40 a.m. |
Created at: April 10, 2026, 11:53 a.m.