Triple
T14399320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nestelghat |
E357028
|
entity |
| Predicate | usedIn |
P98
|
FINISHED |
| Object | Bentvueghels |
E357027
|
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: Bentvueghels | Statement: [Nestelghat, usedIn, Bentvueghels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bentvueghels Context triple: [Nestelghat, usedIn, Bentvueghels]
-
A.
Bentvueghels
chosen
The Bentvueghels were an informal association of mainly Dutch and Flemish artists active in Rome during the 17th century, known for their bohemian rituals, nicknames, and mutual support.
-
B.
Vahcuengh
Vahcuengh is the native autonym and standardized written form of the Zhuang language, a Tai language spoken primarily in Guangxi, China.
-
C.
Verpelét
Verpelét is a small town in northern Hungary known for its wine production and location near the Bükk and Mátra mountain ranges.
-
D.
Helfaut
Helfaut is a small commune in the Pas-de-Calais department in northern France, known for its rural character and proximity to the town of Saint-Omer.
-
E.
Burgstaaken
Burgstaaken is a small harbour district and marina area on the island of Fehmarn in northern Germany, known for its fishing, tourism, and maritime activities.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9083f9d081908fe5c99655c410b3 |
completed | April 14, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd551eb09c8190a102ab452371e5b1 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:17 a.m.