Triple
T3528743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hildesheim |
E74604
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Halle (Belgium) |
E168808
|
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: Halle (Belgium) | Statement: [Hildesheim, hasTwinTown, Halle (Belgium)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halle (Belgium) Context triple: [Hildesheim, hasTwinTown, Halle (Belgium)]
-
A.
Halle, Belgium
chosen
Halle is a historic city in the Flemish Brabant province of Belgium, known for its medieval basilica and role as a regional commercial and cultural center near Brussels.
-
B.
La Hulpe, Belgium
La Hulpe is a small municipality in Walloon Brabant, Belgium, known for hosting the headquarters of the global financial messaging network SWIFT and for its nearby Solvay Castle and park.
-
C.
Hasselt
Hasselt is a city in northeastern Belgium that serves as the capital of the province of Limburg in the Flemish region.
-
D.
Hasselt
Hasselt is a historic small city in the Dutch province of Overijssel, known for its medieval center and canals.
-
E.
Roeselare
Roeselare is a city in western Belgium known as an economic and commercial center in the province of West Flanders.
- 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_69ad85d1a3948190931fd1ea1f49717b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc6e9188819093480b39f263ce75 |
completed | March 8, 2026, 6:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e93c1988190a9ab7698bf63e8e6 |
completed | March 13, 2026, 3:03 a.m. |
Created at: March 8, 2026, 3:19 p.m.