Triple
T6342104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrondissement of Halle-Vilvoorde |
E142651
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Asse |
E547479
|
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: Asse | Statement: [Arrondissement of Halle-Vilvoorde, hasMunicipality, Asse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asse Context triple: [Arrondissement of Halle-Vilvoorde, hasMunicipality, Asse]
-
A.
Asse
chosen
Asse is a municipality in the Belgian province of Flemish Brabant, located just northwest of Brussels.
-
B.
Asserbos
Asserbos is a historic urban forest and public park located in the city of Assen in the Netherlands.
-
C.
Assi
Assi is a prominent neighborhood in Varanasi, India, best known for the nearby Assi Ghat on the banks of the Ganges River.
-
D.
Ascrea
Ascrea is a small hilltop municipality in the Lazio region of central Italy, known for its scenic setting near Lake Turano.
-
E.
Assante
Assante is the surname of Armand Assante, an American actor known for his intense screen presence and roles in films and television dramas.
- 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_69c008d5ab108190b346c465696824a9 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0674445748190bce2d638048be77c |
completed | March 22, 2026, 10:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6043afb4081908d480ad868625909 |
completed | March 27, 2026, 4:14 a.m. |
Created at: March 22, 2026, 4:30 p.m.