Triple
T14128424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jönköping County |
E340093
|
entity |
| Predicate | ISO3166-2Code |
P208
|
FINISHED |
| Object |
SE-F
SE-F is the ISO 3166-2 subdivision code assigned to Jönköping County in Sweden.
|
E1082243
|
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: SE-F | Statement: [Jönköping County, ISO3166-2Code, SE-F]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SE-F Context triple: [Jönköping County, ISO3166-2Code, SE-F]
-
A.
SE-D
SE-D is the ISO 3166-2 regional code assigned to Dalarna County in Sweden.
-
B.
SFR
SFR is a major French telecommunications company providing mobile, internet, and television services.
-
C.
SRF
SRF is the German-language division of the Swiss Broadcasting Corporation, responsible for producing and broadcasting radio, television, and online content in German-speaking Switzerland.
-
D.
SRF
SRF is a French filmmakers' association best known for organizing the Directors' Fortnight sidebar at the Cannes Film Festival and advocating for directors' artistic and professional interests.
-
E.
SF3
SF3 is a nonprofit organization dedicated to promoting, supporting, and organizing activities related to fantasy and science fiction, including conventions and fan events.
- 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: SE-F Triple: [Jönköping County, ISO3166-2Code, SE-F]
Generated description
SE-F is the ISO 3166-2 subdivision code assigned to Jönköping County in Sweden.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SE-F Target entity description: SE-F is the ISO 3166-2 subdivision code assigned to Jönköping County in Sweden.
-
A.
SE-D
SE-D is the ISO 3166-2 regional code assigned to Dalarna County in Sweden.
-
B.
SFR
SFR is a major French telecommunications company providing mobile, internet, and television services.
-
C.
SRF
SRF is a French filmmakers' association best known for organizing the Directors' Fortnight sidebar at the Cannes Film Festival and advocating for directors' artistic and professional interests.
-
D.
SRF
SRF is the German-language division of the Swiss Broadcasting Corporation, responsible for producing and broadcasting radio, television, and online content in German-speaking Switzerland.
-
E.
SF3
SF3 is a nonprofit organization dedicated to promoting, supporting, and organizing activities related to fantasy and science fiction, including conventions and fan events.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de6098013c8190b1bac9d3fff60acd |
completed | April 14, 2026, 3:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf0ed0a88190a7126887364fccdd |
completed | May 7, 2026, 6:50 p.m. |
| NEDg | Description generation | batch_69fce0cc78e881909090ac42a97ebb12 |
completed | May 7, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fce1f53a8881909fd1258729a9879d |
completed | May 7, 2026, 7:03 p.m. |
Created at: April 9, 2026, 10:22 p.m.