Triple
T8527679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilrijk |
E201858
|
entity |
| Predicate | municipalAuthority |
P3291
|
FINISHED |
| Object | City of Antwerp |
E32042
|
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: City of Antwerp | Statement: [Wilrijk, municipalAuthority, City of Antwerp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Antwerp Context triple: [Wilrijk, municipalAuthority, City of Antwerp]
-
A.
Antwerp
chosen
Antwerp is a major Belgian port city on the River Scheldt, renowned as a global center for the diamond trade and its historic Flemish art and architecture.
-
B.
Ghent
Ghent is a historic city in the Flemish region of Belgium, known for its medieval architecture, canals, and role as a major cultural and economic center in the Middle Ages.
-
C.
Ghent
Ghent is a small unincorporated community and ski-area destination located in Raleigh County, West Virginia, United States.
-
D.
Lower Town of Brussels
The Lower Town of Brussels is the historic commercial and popular heart of the city, characterized by its medieval street layout, bustling squares, and dense urban fabric surrounding the Grand Place.
-
E.
Tervuren
Tervuren is a municipality in Flemish Brabant, Belgium, known for its historic park, royal connections, and the Royal Museum for Central Africa.
- 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_69ca83228b24819085d22e7dc99f5d94 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6477100819081fa20cb6b8ea3d7 |
completed | March 31, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdb759f6c819085939e38e0281361 |
completed | April 3, 2026, 3:23 p.m. |
Created at: March 30, 2026, 6:17 p.m.