Triple
T16456180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sint-Oedenrode |
E399685
|
entity |
| Predicate | hasReligiousBuilding |
P1191
|
FINISHED |
| Object |
Knoptoren
Knoptoren is a historic church tower and prominent landmark in the Dutch town of Sint-Oedenrode.
|
E1214966
|
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: Knoptoren | Statement: [Sint-Oedenrode, hasReligiousBuilding, Knoptoren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Knoptoren Context triple: [Sint-Oedenrode, hasReligiousBuilding, Knoptoren]
-
A.
Gevangenpoort
Gevangenpoort is a historic city gate and former prison in Bergen op Zoom, Netherlands, known as one of the town’s most prominent medieval landmarks.
-
B.
Burgstaaken
Burgstaaken is a small harbour district and marina area on the island of Fehmarn in northern Germany, known for its fishing, tourism, and maritime activities.
-
C.
Speeltoren
Speeltoren is a historic clock and bell tower in the Dutch town of Monnickendam, known for its carillon and distinctive architecture.
-
D.
Broeltorens
Broeltorens are two iconic medieval defensive towers in Kortrijk, Belgium, that form a prominent historical landmark along the River Lys.
-
E.
Rosenkrantz Tower
Rosenkrantz Tower is a historic fortified tower and former royal residence in Bergen, Norway, dating back to the Middle Ages and now serving as a prominent landmark and museum.
- 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: Knoptoren Triple: [Sint-Oedenrode, hasReligiousBuilding, Knoptoren]
Generated description
Knoptoren is a historic church tower and prominent landmark in the Dutch town of Sint-Oedenrode.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Knoptoren Target entity description: Knoptoren is a historic church tower and prominent landmark in the Dutch town of Sint-Oedenrode.
-
A.
Gevangenpoort
Gevangenpoort is a historic city gate and former prison in Bergen op Zoom, Netherlands, known as one of the town’s most prominent medieval landmarks.
-
B.
Burgstaaken
Burgstaaken is a small harbour district and marina area on the island of Fehmarn in northern Germany, known for its fishing, tourism, and maritime activities.
-
C.
Speeltoren
Speeltoren is a historic clock and bell tower in the Dutch town of Monnickendam, known for its carillon and distinctive architecture.
-
D.
Broeltorens
Broeltorens are two iconic medieval defensive towers in Kortrijk, Belgium, that form a prominent historical landmark along the River Lys.
-
E.
Rosenkrantz Tower
Rosenkrantz Tower is a historic fortified tower and former royal residence in Bergen, Norway, dating back to the Middle Ages and now serving as a prominent landmark and museum.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d7d3bf4819092d5bff6de0859e8 |
completed | April 18, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f5015a881908447b64b699feb1a |
completed | May 10, 2026, 9:26 a.m. |
| NEDg | Description generation | batch_6a0051491fc88190ab4098f1177d2715 |
completed | May 10, 2026, 9:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0051c61ea0819090d588df72c1041b |
completed | May 10, 2026, 9:37 a.m. |
Created at: April 10, 2026, 5:10 a.m.