Triple
T22691360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suriname national football team |
E561058
|
entity |
| Predicate | fifaCode |
P6278
|
FINISHED |
| Object |
SUR
SUR is the FIFA country code representing the Suriname national football team in international competitions.
|
E1549359
|
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: SUR | Statement: [Suriname national football team, fifaCode, SUR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SUR Context triple: [Suriname national football team, fifaCode, SUR]
-
A.
Sur
Sur is a historic coastal city in Oman renowned for its traditional dhow-building industry and long-standing role as a key maritime trade hub in the Indian Ocean.
-
B.
SR
SR is the postcode area in North East England that covers Sunderland and surrounding parts of Tyne and Wear and County Durham.
-
C.
SR
SR is the standard route designation used for numbered state highways within the Arizona State Highway System.
-
D.
SR
SR is the two-letter ISO 3166-1 alpha-2 country code assigned to Suriname.
-
E.
SR
SR is the vehicle registration code used on license plates for the Straubing-Bogen district in Bavaria, Germany.
- 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: SUR Triple: [Suriname national football team, fifaCode, SUR]
Generated description
SUR is the FIFA country code representing the Suriname national football team in international competitions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SUR Target entity description: SUR is the FIFA country code representing the Suriname national football team in international competitions.
-
A.
Sur
Sur is a historic coastal city in Oman renowned for its traditional dhow-building industry and long-standing role as a key maritime trade hub in the Indian Ocean.
-
B.
SR
SR is the postcode area in North East England that covers Sunderland and surrounding parts of Tyne and Wear and County Durham.
-
C.
SR
SR is the standard route designation used for numbered state highways within the Arizona State Highway System.
-
D.
SR
SR is the vehicle registration code used on license plates for the Straubing-Bogen district in Bavaria, Germany.
-
E.
SR
SR was the IATA airline designator used by Swissair, the former national airline of Switzerland.
- 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789adcc48190b4a717166d5dba19 |
completed | April 29, 2026, 3:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b73fa5a648190b90ba303d1fe2397 |
completed | May 18, 2026, 8:18 p.m. |
| NEDg | Description generation | batch_6a0b7755eb048190ba1657a9a09bc24b |
completed | May 18, 2026, 8:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b780c0a4c8190b51b50c1e0e1a114 |
completed | May 18, 2026, 8:35 p.m. |
Created at: April 17, 2026, 3:13 p.m.