Triple
T12683771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wijchen |
E303012
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Bergharen
Bergharen is a village in the Dutch province of Gelderland, known for its historic church and rural surroundings.
|
E997261
|
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: Bergharen | Statement: [Wijchen, hasSettlement, Bergharen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bergharen Context triple: [Wijchen, hasSettlement, Bergharen]
-
A.
Hesselberg
Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
-
B.
Badeloch
Badeloch is a central female character in Joost van den Vondel’s Dutch play "Gijsbrecht van Aemstel," known as the loyal and tragic wife of the title hero.
-
C.
Beerenberg
Beerenberg is an active stratovolcano and the northernmost subaerial volcano on Earth, dominating the Arctic island of Jan Mayen in the North Atlantic.
-
D.
Norén
Norén is a Swedish surname, notably borne by actress Noomi Rapace before she adopted her stage name.
-
E.
Landensberg
Landensberg is a small municipality in the Bavarian region of southern Germany.
- 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: Bergharen Triple: [Wijchen, hasSettlement, Bergharen]
Generated description
Bergharen is a village in the Dutch province of Gelderland, known for its historic church and rural surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bergharen Target entity description: Bergharen is a village in the Dutch province of Gelderland, known for its historic church and rural surroundings.
-
A.
Hesselberg
Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
-
B.
Badeloch
Badeloch is a central female character in Joost van den Vondel’s Dutch play "Gijsbrecht van Aemstel," known as the loyal and tragic wife of the title hero.
-
C.
Beerenberg
Beerenberg is an active stratovolcano and the northernmost subaerial volcano on Earth, dominating the Arctic island of Jan Mayen in the North Atlantic.
-
D.
Norén
Norén is a Swedish surname, notably borne by actress Noomi Rapace before she adopted her stage name.
-
E.
Landensberg
Landensberg is a small municipality in the Bavarian region of southern Germany.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961d68358819095bdaab8adf1dcf0 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671a733a48190b55d296573c86eaf |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f67286f1b8819081db3da2f5c16daf |
completed | May 2, 2026, 9:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67323a724819092425cdb3a070b96 |
completed | May 2, 2026, 9:56 p.m. |
Created at: April 9, 2026, 5:21 p.m.