Triple
T21016766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wisen |
E517697
|
entity |
| Predicate | ISO3166-1Alpha2 |
P189
|
FINISHED |
| Object |
CH
CH is the two-letter ISO 3166-1 alpha-2 country code for Switzerland, derived from its Latin name "Confoederatio Helvetica."
|
E806475
|
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: CH | Statement: [Wisen, ISO3166-1Alpha2, CH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CH Context triple: [Wisen, ISO3166-1Alpha2, CH]
-
A.
CH
CH is the official abbreviation of Chega, a right-wing populist political party in Portugal.
-
B.
CH
CH is the postcode area covering Chester and its surrounding region in northwest England.
-
C.
CH
CH is the standard abbreviation used by the United States Army to designate members of its Chaplain Corps.
-
D.
CH
CH is the post-nominal abbreviation for Companion of Honour, a prestigious British award recognizing outstanding achievements in fields such as the arts, literature, music, science, politics, industry, or religion.
-
E.
CH
CH is the common abbreviation for Christ’s Hospital, a historic English independent boarding school founded in the 16th century and known for its distinctive bluecoat uniform and charitable educational mission.
- 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: CH Triple: [Wisen, ISO3166-1Alpha2, CH]
Generated description
CH is the two-letter ISO 3166-1 alpha-2 country code for Switzerland, derived from its Latin name "Confoederatio Helvetica."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CH Target entity description: CH is the two-letter ISO 3166-1 alpha-2 country code for Switzerland, derived from its Latin name "Confoederatio Helvetica."
-
A.
CH
chosen
CH is the ISO 3166-1 alpha-2 country code for Switzerland.
-
B.
CH
CH is the official abbreviation of Chega, a right-wing populist political party in Portugal.
-
C.
CH
CH is the standard abbreviation used by the United States Army to designate members of its Chaplain Corps.
-
D.
CH
CH is the post-nominal abbreviation for Companion of Honour, a prestigious British award recognizing outstanding achievements in fields such as the arts, literature, music, science, politics, industry, or religion.
-
E.
CH
CH is the common abbreviation for Christ’s Hospital, a historic English independent boarding school founded in the 16th century and known for its distinctive bluecoat uniform and charitable educational mission.
- F. None of above.
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_69e0b50262b081909bc488937145eb73 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc5968c081909ae6407199858aba |
completed | April 21, 2026, 4:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a093b6544ec8190baa55bb07941a231 |
completed | May 17, 2026, 3:52 a.m. |
| NEDg | Description generation | batch_6a093f659a7c8190a10c41821dafacc4 |
completed | May 17, 2026, 4:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0940e3b7988190b5400d16211aefcc |
completed | May 17, 2026, 4:15 a.m. |
Created at: April 16, 2026, 1:54 p.m.