Triple
T12683773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wijchen |
E303012
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Leur
Leur is a small village in the Dutch municipality of Wijchen in the province of Gelderland, Netherlands.
|
E997263
|
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: Leur | Statement: [Wijchen, hasSettlement, Leur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leur Context triple: [Wijchen, hasSettlement, Leur]
-
A.
Leur
Leur is a former village in the Dutch province of North Brabant that now forms part of the town of Etten-Leur.
-
B.
Leueen
Leueen is a feminine given name most notably associated with the British actress and playwright Leueen MacGrath.
-
C.
Laer
Laer is a small municipality in the Steinfurt district of North Rhine-Westphalia, Germany, known for its rural character and traditional Westphalian architecture.
-
D.
Leova
Leova is a small town in southwestern Moldova known for its location near the border with Romania and its position along the Prut River.
-
E.
Laerru
Laerru is a small municipality in the Gallura region of northern Sardinia, Italy, known for its rural character and traditional Sardinian culture.
- 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: Leur Triple: [Wijchen, hasSettlement, Leur]
Generated description
Leur is a small village in the Dutch municipality of Wijchen in the province of Gelderland, Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leur Target entity description: Leur is a small village in the Dutch municipality of Wijchen in the province of Gelderland, Netherlands.
-
A.
Leur
Leur is a former village in the Dutch province of North Brabant that now forms part of the town of Etten-Leur.
-
B.
Leueen
Leueen is a feminine given name most notably associated with the British actress and playwright Leueen MacGrath.
-
C.
Laer
Laer is a small municipality in the Steinfurt district of North Rhine-Westphalia, Germany, known for its rural character and traditional Westphalian architecture.
-
D.
Leova
Leova is a small town in southwestern Moldova known for its location near the border with Romania and its position along the Prut River.
-
E.
Laerru
Laerru is a small municipality in the Gallura region of northern Sardinia, Italy, known for its rural character and traditional Sardinian culture.
- 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.