Triple
T17199215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noardeast-Fryslân |
E417432
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Metslawier |
E1256618
|
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: Metslawier | Statement: [Noardeast-Fryslân, containsSettlement, Metslawier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metslawier Context triple: [Noardeast-Fryslân, containsSettlement, Metslawier]
-
A.
Metslawier
chosen
Metslawier is a small village in the Dutch province of Friesland, known for its historic church and traditional Frisian character.
-
B.
Heastie
Heastie is the surname of Carl E. Heastie, a prominent American politician who has served as Speaker of the New York State Assembly.
-
C.
Regardie
Regardie is the surname of Israel Regardie, a prominent 20th-century occultist and author associated with the Hermetic Order of the Golden Dawn.
-
D.
Leyhof
Leyhof is a residential neighborhood in the Dutch town of Leiderdorp, located in the province of South Holland.
-
E.
Mulhousien
Mulhousien is the French term for an inhabitant or native of the city of Mulhouse in northeastern France.
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42daddcd08190a82f36c940bf3f7b |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01674bfabc8190bff7223e039089cc |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:38 a.m.