Triple
T17311047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bolsward |
E420293
|
entity |
| Predicate | hasReligiousBuilding |
P1191
|
FINISHED |
| Object |
Martinikerk
Martinikerk is a historic Christian church in the Dutch city of Bolsward, known for its prominent medieval architecture and cultural significance.
|
E1261435
|
NE FINISHED |
How this triple was built (4 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 | Statement: [Bolsward, hasReligiousBuilding, Martinikerk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martinikerk Context triple: [Bolsward, hasReligiousBuilding, Martinikerk]
-
A.
Mahorais
Mahorais is a French-based creole language spoken primarily on the island of Mayotte in the Indian Ocean.
-
B.
Rote Insel
Rote Insel is a distinctive, historically working-class neighborhood in Berlin known for its island-like layout encircled by railway lines and its rich social and cultural history.
-
C.
Steinsel
Steinsel is a small commune and town in central Luxembourg, situated just north of the capital city.
-
D.
Duivelseiland
Duivelseiland is a small, upscale residential neighborhood in Amsterdam, known for its elegant architecture and central yet quiet urban setting.
-
E.
Havange
Havange is a small commune in northeastern France’s Grand Est region, situated in the Moselle department.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Martinikerk Triple: [Bolsward, hasReligiousBuilding, Martinikerk]
Generated description
Martinikerk is a historic Christian church in the Dutch city of Bolsward, known for its prominent medieval architecture and cultural significance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Martinikerk Target entity description: Martinikerk is a historic Christian church in the Dutch city of Bolsward, known for its prominent medieval architecture and cultural significance.
-
A.
Mahorais
Mahorais is a French-based creole language spoken primarily on the island of Mayotte in the Indian Ocean.
-
B.
Rote Insel
Rote Insel is a distinctive, historically working-class neighborhood in Berlin known for its island-like layout encircled by railway lines and its rich social and cultural history.
-
C.
Steinsel
Steinsel is a small commune and town in central Luxembourg, situated just north of the capital city.
-
D.
Duivelseiland
Duivelseiland is a small, upscale residential neighborhood in Amsterdam, known for its elegant architecture and central yet quiet urban setting.
-
E.
Havange
Havange is a small commune in northeastern France’s Grand Est region, situated in the Moselle department.
- F. None of above. chosen
Provenance (5 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4399837b08190b7cf74201b3cb013 |
completed | April 19, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180e5043081908f31c2434e9b9647 |
completed | May 11, 2026, 7:10 a.m. |
| NEDg | Description generation | batch_6a0182e466e8819096f61fb74d4147c5 |
completed | May 11, 2026, 7:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01840ddbb08190a542faba4ca26e5a |
completed | May 11, 2026, 7:23 a.m. |
Created at: April 10, 2026, 5:43 a.m.