Triple
T10229658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Älmhult Municipality |
E243305
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Liatorp
Liatorp is a small locality in southern Sweden situated within Älmhult Municipality in Kronoberg County.
|
E851303
|
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: Liatorp | Statement: [Älmhult Municipality, contains, Liatorp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liatorp Context triple: [Älmhult Municipality, contains, Liatorp]
-
A.
Lierne
Lierne is a sparsely populated municipality in Trøndelag county, Norway, known for its vast wilderness areas, national parks, and rich wildlife.
-
B.
Lutry
Lutry is a picturesque Swiss village on the shores of Lake Geneva, known for its historic old town and its role as a gateway to the UNESCO-listed Lavaux terraced vineyards.
-
C.
Luga
Luga is a small historic town in northwestern Russia known for its strategic location and role in regional transport and industry.
-
D.
Latorica
Latorica is a river in Central Europe that flows through western Ukraine and eastern Slovakia, forming part of the Tisza River basin.
-
E.
Radaur
Radaur is a town in the Yamunanagar district of Haryana, India, known primarily as a local commercial and educational center for surrounding rural areas.
- 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: Liatorp Triple: [Älmhult Municipality, contains, Liatorp]
Generated description
Liatorp is a small locality in southern Sweden situated within Älmhult Municipality in Kronoberg County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Liatorp Target entity description: Liatorp is a small locality in southern Sweden situated within Älmhult Municipality in Kronoberg County.
-
A.
Lierne
Lierne is a sparsely populated municipality in Trøndelag county, Norway, known for its vast wilderness areas, national parks, and rich wildlife.
-
B.
Lutry
Lutry is a picturesque Swiss village on the shores of Lake Geneva, known for its historic old town and its role as a gateway to the UNESCO-listed Lavaux terraced vineyards.
-
C.
Luga
Luga is a small historic town in northwestern Russia known for its strategic location and role in regional transport and industry.
-
D.
Latorica
Latorica is a river in Central Europe that flows through western Ukraine and eastern Slovakia, forming part of the Tisza River basin.
-
E.
Radaur
Radaur is a town in the Yamunanagar district of Haryana, India, known primarily as a local commercial and educational center for surrounding rural areas.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d1fcb1d081908173033594a6bfc9 |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f73610fc8190965c4e45a9deeac6 |
completed | April 9, 2026, 12:47 a.m. |
| NEDg | Description generation | batch_69d6fa2ea97081908395048218c0592b |
completed | April 9, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fcb5dc4c8190944a423a9d16a4b8 |
completed | April 9, 2026, 1:11 a.m. |
Created at: April 6, 2026, 11:19 a.m.