Triple
T16219224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forest |
E393674
|
entity |
| Predicate | hasNameInDutch |
P13254
|
FINISHED |
| Object | Vorst |
E1037687
|
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: Vorst | Statement: [Forest, hasNameInDutch, Vorst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vorst Context triple: [Forest, hasNameInDutch, Vorst]
-
A.
Vorst
chosen
Vorst is the Dutch name for Forest, a bilingual municipality in the Brussels-Capital Region of Belgium.
-
B.
Vaskina
Vaskina is a small settlement located in the traditional Tsakonian region of the eastern Peloponnese in Greece.
-
C.
Gavro
Gavro is a diminutive or short form of the male given name Gavril, commonly used in some Slavic-speaking regions.
-
D.
Vaska Pepel
Vaska Pepel is a central character in Maxim Gorky's play "The Lower Depths," depicted as a young thief whose rough exterior masks a capacity for passion and moral conflict.
-
E.
Orzola
Orzola is a small fishing village and port at the northern tip of Lanzarote in the Canary Islands, known as the main departure point for ferries to the nearby island of La Graciosa.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e227f95de081908e1abe32d281dbe7 |
completed | April 17, 2026, 12:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0007987cd881908ebc01141028c0a5 |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:03 a.m.