Triple
T16404263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stevenskerk Nijmegen |
E398383
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | Stevenskerk |
E408479
|
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: Stevenskerk | Statement: [Stevenskerk Nijmegen, nativeName, Stevenskerk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stevenskerk Context triple: [Stevenskerk Nijmegen, nativeName, Stevenskerk]
-
A.
Stevenskerk
chosen
Stevenskerk is a historic medieval church in Nijmegen, the Netherlands, known as the city's main and oldest church.
-
B.
Westerkerk
Westerkerk is a prominent 17th-century Protestant church in central Amsterdam, renowned for its tall tower and association with Dutch Golden Age history.
-
C.
Munsterkerk
Munsterkerk is a prominent Romanesque church in Roermond, Netherlands, known for its distinctive twin towers and historical significance.
-
D.
St. Maartenskerk
St. Maartenskerk is a historic church in the Dutch town of Tiel, notable for its medieval architecture and prominent tower.
-
E.
St. Janskerk
St. Janskerk is a prominent Gothic church in Maastricht, Netherlands, known for its striking red tower and historic role in the city’s religious and architectural heritage.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e327d1f16481909adb19dab86dcc72 |
completed | April 18, 2026, 6:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c6094e481909aa7402fd17fedae |
completed | May 10, 2026, 8:05 a.m. |
Created at: April 10, 2026, 5:09 a.m.