Triple
T1132344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scotland national football team |
E23059
|
entity |
| Predicate | fifaCode |
P6278
|
FINISHED |
| Object |
SCO
SCO is the official FIFA country code used to represent the Scotland national football team in international competitions and records.
|
E130436
|
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: SCO | Statement: [Scotland national football team, fifaCode, SCO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SCO Context triple: [Scotland national football team, fifaCode, SCO]
-
A.
SO
SO is an abbreviation for the Southern Oscillation, a large-scale atmospheric pressure pattern in the tropical Pacific that underlies the El Niño–La Niña climate cycle.
-
B.
SO
SO is the two-letter ISO 3166-1 alpha-2 country code assigned to Somalia for international identification and data standards.
-
C.
SO
SO is the New York Stock Exchange ticker symbol for Southern Company, a major U.S. electric and gas utility holding company based in the Southeast.
-
D.
SC
SC is the standard two-letter postal abbreviation for the U.S. state of South Carolina.
-
E.
SU
SU was the two-letter country code used to represent the former Soviet Union in various international standards and systems.
- 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: SCO Triple: [Scotland national football team, fifaCode, SCO]
Generated description
SCO is the official FIFA country code used to represent the Scotland national football team in international competitions and records.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SCO Target entity description: SCO is the official FIFA country code used to represent the Scotland national football team in international competitions and records.
-
A.
SO
SO is the two-letter ISO 3166-1 alpha-2 country code assigned to Somalia for international identification and data standards.
-
B.
SO
SO is an abbreviation for the Southern Oscillation, a large-scale atmospheric pressure pattern in the tropical Pacific that underlies the El Niño–La Niña climate cycle.
-
C.
SO
SO is the New York Stock Exchange ticker symbol for Southern Company, a major U.S. electric and gas utility holding company based in the Southeast.
-
D.
SC
SC is the standard two-letter postal abbreviation for the U.S. state of South Carolina.
-
E.
SU
SU was the two-letter country code used to represent the former Soviet Union in various international standards and systems.
- 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_69a493ec75988190b63a11bafaec29b4 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bbfcdf848190a2917d796ca84b74 |
completed | March 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac59aa261881908c7ceedf710ee9c8 |
completed | March 7, 2026, 5 p.m. |
| NEDg | Description generation | batch_69ac5b0edea081909cc734a11aaf452e |
completed | March 7, 2026, 5:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac5b78810c8190aa1ca58a577b53bf |
completed | March 7, 2026, 5:08 p.m. |
Created at: March 1, 2026, 7:44 p.m.