Triple
T18195796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | municipality of Tholen |
E435657
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Stavenisse |
—
|
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: Stavenisse | Statement: [municipality of Tholen, contains, Stavenisse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stavenisse Context triple: [municipality of Tholen, contains, Stavenisse]
-
A.
Stavenisse
chosen
Stavenisse is a small village in the Dutch province of Zeeland, located on the island of Tholen and known for its dike landscapes and fishing heritage.
-
B.
Stallikon
Stallikon is a municipality in the canton of Zurich in Switzerland, situated in a hilly, forested area near Zurich and known for its rural character and natural landscapes.
-
C.
Stavrota
Stavrota is the highest mountain peak on the Greek island of Lefkada, known for its panoramic views over the Ionian Sea.
-
D.
Berlaar
Berlaar is a municipality in the Belgian province of Antwerp, known for its rural character and location along the Nete River.
-
E.
Stegny
Stegny is a residential neighborhood in the Mokotów district of Warsaw, Poland, known for its large housing estates and green spaces.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d2ad5881909d846f3851ac9ec9 |
completed | April 19, 2026, 2:04 p.m. |
Created at: April 10, 2026, 10:31 a.m.