Triple
T5021384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franeker |
E112857
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Martinikerk Franeker |
E471605
|
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: Martinikerk Franeker | Statement: [Franeker, hasLandmark, Martinikerk Franeker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martinikerk Franeker Context triple: [Franeker, hasLandmark, Martinikerk Franeker]
-
A.
Scheemda
Scheemda is a village in the municipality of Oldambt in the province of Groningen in the northeastern Netherlands.
-
B.
Hoendiep
Hoendiep is a canal in the Dutch province of Groningen that serves as an important regional waterway and transport route.
-
C.
Franeker, Friesland, Netherlands
chosen
Franeker is a historic university town in the Dutch province of Friesland, known for its rich academic heritage and traditional Frisian culture.
-
D.
Volendam
Volendam is a traditional Dutch fishing village and popular tourist destination known for its historic harbor, wooden houses, and preserved local costumes.
-
E.
Krabbendijke
Krabbendijke is a village in the Dutch province of Zeeland, known for its agricultural surroundings and location on the former island of Zuid-Beveland.
- 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_69bd4435c2f48190be593158cbfcf8a3 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73656edc8190b802ad38d9552b58 |
completed | March 20, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be927f4ad0819096826f6cb141c90b |
completed | March 21, 2026, 12:43 p.m. |
Created at: March 20, 2026, 1:36 p.m.