Triple
T7774005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Etten-Leur |
E179144
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object | Etten |
E125661
|
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: Etten | Statement: [Etten-Leur, formedByMergerOf, Etten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Etten Context triple: [Etten-Leur, formedByMergerOf, Etten]
-
A.
Etten
chosen
Etten is a village in the Netherlands known as one of the early places where Vincent van Gogh lived and worked.
-
B.
Hetta
Hetta is a central, intelligent and strong-willed female character in Anthony Trollope’s novel "The Way We Live Now."
-
C.
Naujaat
Naujaat is a small Inuit community in Nunavut, Canada, located on the Arctic coast at the north end of Roes Welcome Sound.
-
D.
Hannut
Hannut is a municipality in the French-speaking Walloon Region of Belgium, known for its rural character and location between Liège and Brussels.
-
E.
Nanneella
Nanneella is a small rural town in northern Victoria, Australia, situated within the Shire of Campaspe and known for its agricultural surroundings.
- 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c70461b3e48190bf1e4d4f9e6bb08e |
completed | March 27, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7f12b888190b10479c3db81cce2 |
completed | March 29, 2026, 6:34 a.m. |
Created at: March 27, 2026, 4:11 p.m.