Triple
T10892353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steinfurt (district) |
E257209
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Laer
Laer is a small municipality in the Steinfurt district of North Rhine-Westphalia, Germany, known for its rural character and traditional Westphalian architecture.
|
E892787
|
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: Laer | Statement: [Steinfurt (district), contains, Laer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laer Context triple: [Steinfurt (district), contains, Laer]
-
A.
Lierna
Lierna is a small lakeside village on the eastern shore of Lake Como in northern Italy, known for its scenic views and historic stone hamlets.
-
B.
Laerru
Laerru is a small municipality in the Gallura region of northern Sardinia, Italy, known for its rural character and traditional Sardinian culture.
-
C.
Lare
Lare is a town in Ethiopia’s western Gambela Region, known as one of the area’s principal local centers.
-
D.
Lierne
Lierne is a sparsely populated municipality in Trøndelag county, Norway, known for its vast wilderness areas, national parks, and rich wildlife.
-
E.
Leur
Leur is a former village in the Dutch province of North Brabant that now forms part of the town of Etten-Leur.
- 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: Laer Triple: [Steinfurt (district), contains, Laer]
Generated description
Laer is a small municipality in the Steinfurt district of North Rhine-Westphalia, Germany, known for its rural character and traditional Westphalian architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laer Target entity description: Laer is a small municipality in the Steinfurt district of North Rhine-Westphalia, Germany, known for its rural character and traditional Westphalian architecture.
-
A.
Lierna
Lierna is a small lakeside village on the eastern shore of Lake Como in northern Italy, known for its scenic views and historic stone hamlets.
-
B.
Laerru
Laerru is a small municipality in the Gallura region of northern Sardinia, Italy, known for its rural character and traditional Sardinian culture.
-
C.
Lare
Lare is a town in Ethiopia’s western Gambela Region, known as one of the area’s principal local centers.
-
D.
Lierne
Lierne is a sparsely populated municipality in Trøndelag county, Norway, known for its vast wilderness areas, national parks, and rich wildlife.
-
E.
Leur
Leur is a former village in the Dutch province of North Brabant that now forms part of the town of Etten-Leur.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75206354881908b148f2df3938513 |
completed | April 9, 2026, 7:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e1550d6b4081909483c5dfa6e85671 |
completed | April 16, 2026, 9:30 p.m. |
| NEDg | Description generation | batch_69e17d3331788190a9ee03fc4c6ca191 |
completed | April 17, 2026, 12:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e1ff5b3d488190a545bee24381d01e |
completed | April 17, 2026, 9:37 a.m. |
Created at: April 8, 2026, 9:21 p.m.