Triple
T10229713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kronoberg County |
E243306
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Alvesta
Alvesta is a locality and railway junction in southern Sweden that serves as the seat of Alvesta Municipality in Kronoberg County.
|
E851315
|
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: Alvesta | Statement: [Kronoberg County, contains, Alvesta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alvesta Context triple: [Kronoberg County, contains, Alvesta]
-
A.
Garmsar
Garmsar is a city in Semnan Province of north-central Iran, known as a regional transport hub and gateway between Tehran and eastern parts of the country.
-
B.
Orbost
Orbost is a small rural town in East Gippsland, Victoria, Australia, known as a service centre for the surrounding farming and forestry region near the Snowy River.
-
C.
Kingissepa
Kingissepa is the former Soviet-era name of the Estonian town now known as Kuressaare, located on Saaremaa Island.
-
D.
Mora
Mora is a canton in Costa Rica’s San José Province known for its rural landscapes, agricultural activities, and small-town communities.
-
E.
Mora
Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
- 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: Alvesta Triple: [Kronoberg County, contains, Alvesta]
Generated description
Alvesta is a locality and railway junction in southern Sweden that serves as the seat of Alvesta Municipality in Kronoberg County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alvesta Target entity description: Alvesta is a locality and railway junction in southern Sweden that serves as the seat of Alvesta Municipality in Kronoberg County.
-
A.
Garmsar
Garmsar is a city in Semnan Province of north-central Iran, known as a regional transport hub and gateway between Tehran and eastern parts of the country.
-
B.
Orbost
Orbost is a small rural town in East Gippsland, Victoria, Australia, known as a service centre for the surrounding farming and forestry region near the Snowy River.
-
C.
Kingissepa
Kingissepa is the former Soviet-era name of the Estonian town now known as Kuressaare, located on Saaremaa Island.
-
D.
Mora
Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
-
E.
Mora
Mora is a canton in Costa Rica’s San José Province known for its rural landscapes, agricultural activities, and small-town communities.
- 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.