Triple
T1034241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basel-Stadt |
E22322
|
entity |
| Predicate | isoCode |
P189
|
FINISHED |
| Object |
CH-BS
CH-BS is the ISO 3166-2 code for the Swiss canton of Basel-Stadt, an urban canton centered on the city of Basel.
|
E120070
|
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-BS | Statement: [Basel-Stadt, isoCode, CH-BS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CH-BS Context triple: [Basel-Stadt, isoCode, CH-BS]
-
A.
BCCh
BCCh is the acronym for the Central Bank of Chile, the country’s autonomous monetary authority responsible for maintaining price stability and financial system soundness.
-
B.
BSC
BSC is an acronym commonly referring to British Security Coordination, a covert World War II intelligence organization established by the United Kingdom in North America.
-
C.
BCH
BCH is a leading pediatric medical center and teaching hospital in Boston renowned for its specialized care for children and groundbreaking research.
-
D.
BHS
BHS is a critical scholarly edition of the Hebrew Bible widely used in academic biblical studies and textual research.
-
E.
BANZSL
BANZSL is the family of closely related sign languages used in Britain, Australia, and New Zealand, sharing a common historical origin and many linguistic features.
- 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-BS Triple: [Basel-Stadt, isoCode, CH-BS]
Generated description
CH-BS is the ISO 3166-2 code for the Swiss canton of Basel-Stadt, an urban canton centered on the city of Basel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CH-BS Target entity description: CH-BS is the ISO 3166-2 code for the Swiss canton of Basel-Stadt, an urban canton centered on the city of Basel.
-
A.
BCCh
BCCh is the acronym for the Central Bank of Chile, the country’s autonomous monetary authority responsible for maintaining price stability and financial system soundness.
-
B.
BSC
BSC is an acronym commonly referring to British Security Coordination, a covert World War II intelligence organization established by the United Kingdom in North America.
-
C.
BCH
BCH is a leading pediatric medical center and teaching hospital in Boston renowned for its specialized care for children and groundbreaking research.
-
D.
BHS
BHS is a critical scholarly edition of the Hebrew Bible widely used in academic biblical studies and textual research.
-
E.
BANZSL
BANZSL is the family of closely related sign languages used in Britain, Australia, and New Zealand, sharing a common historical origin and many linguistic features.
- 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_69a493d848848190aed4011b34b2e8d3 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b814c16c8190ac4d20feecdadbae |
completed | March 1, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bc15a6c81909a71bf17b5cd4019 |
completed | March 7, 2026, 2:52 p.m. |
| NEDg | Description generation | batch_69ac3c7d16748190a95aaffd04a867b3 |
completed | March 7, 2026, 2:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac3ce827b88190a5de06c695ad4ecb |
completed | March 7, 2026, 2:57 p.m. |
Created at: March 1, 2026, 7:41 p.m.