Triple
T8296658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Union of Serbia and Montenegro |
E194235
|
entity |
| Predicate | ISO3166-1Alpha2 |
P189
|
FINISHED |
| Object |
CS
CS was the former ISO 3166-1 alpha-2 country code assigned to the now-dissolved state union of Serbia and Montenegro.
|
E724361
|
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: CS | Statement: [State Union of Serbia and Montenegro, ISO3166-1Alpha2, CS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CS Context triple: [State Union of Serbia and Montenegro, ISO3166-1Alpha2, CS]
-
A.
CS
CS is a common abbreviation used to refer to the city of College Station, Texas.
-
B.
CS
CS is the common abbreviation for the Church of Christ, Scientist, a Christian denomination founded by Mary Baker Eddy that emphasizes spiritual healing and the study of Christian Science.
-
C.
CS
CS is the commonly used abbreviation and stock ticker for Credit Suisse, the former major Swiss multinational investment bank and financial services company.
-
D.
CS
CS is the common abbreviation for the Climax Series, a postseason playoff system used in Japan’s professional baseball leagues to determine league champions.
-
E.
CSE
CSE is the abbreviated name for the University of Edinburgh’s College of Science and Engineering, a major academic division focused on scientific and engineering disciplines.
- 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: CS Triple: [State Union of Serbia and Montenegro, ISO3166-1Alpha2, CS]
Generated description
CS was the former ISO 3166-1 alpha-2 country code assigned to the now-dissolved state union of Serbia and Montenegro.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CS Target entity description: CS was the former ISO 3166-1 alpha-2 country code assigned to the now-dissolved state union of Serbia and Montenegro.
-
A.
CS
CS is a common abbreviation used to refer to the city of College Station, Texas.
-
B.
CS
CS is the common abbreviation for the Church of Christ, Scientist, a Christian denomination founded by Mary Baker Eddy that emphasizes spiritual healing and the study of Christian Science.
-
C.
CS
CS is the common abbreviation for the Climax Series, a postseason playoff system used in Japan’s professional baseball leagues to determine league champions.
-
D.
CS
CS is the commonly used abbreviation and stock ticker for Credit Suisse, the former major Swiss multinational investment bank and financial services company.
-
E.
CSE
CSE is the abbreviated name for the University of Edinburgh’s College of Science and Engineering, a major academic division focused on scientific and engineering disciplines.
- 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_69ca82e50ebc81909aa7b260c76bd757 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7df887148190bddc2609bc885cb4 |
completed | March 31, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd68ad2f248190a1de95c01ddee259 |
completed | April 1, 2026, 6:49 p.m. |
| NEDg | Description generation | batch_69cd6d574ba88190a2538897d201d8c4 |
completed | April 1, 2026, 7:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd7e536724819095ad006bc0f013a4 |
completed | April 1, 2026, 8:21 p.m. |
Created at: March 30, 2026, 5:53 p.m.