Triple
T20225095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sport Club Internacional |
E495356
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
Inter
Inter is the commonly used short name for Sport Club Internacional, a major Brazilian football club based in Porto Alegre.
|
E1419446
|
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: Inter | Statement: [Sport Club Internacional, shortName, Inter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inter Context triple: [Sport Club Internacional, shortName, Inter]
-
A.
Inter
Inter is a major Italian professional football club based in Milan, renowned for its domestic and international successes, including multiple Serie A and UEFA Champions League titles.
-
B.
Ins
Ins is a small Swiss municipality located in the Seeland region of the canton of Bern, known for its agricultural landscape and proximity to the lakes of Biel, Neuchâtel, and Murten.
-
C.
INE
INE is Chile’s National Statistics Institute, responsible for producing and disseminating official statistical information for the country.
-
D.
Im
Im is a common Korean family name, often romanized as Lim or Yim, with several distinct clan lineages in Korea.
-
E.
Ent
An Ent is a giant, ancient, tree-like guardian of the forests in J.R.R. Tolkien’s Middle-earth legendarium.
- 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: Inter Triple: [Sport Club Internacional, shortName, Inter]
Generated description
Inter is the commonly used short name for Sport Club Internacional, a major Brazilian football club based in Porto Alegre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Inter Target entity description: Inter is the commonly used short name for Sport Club Internacional, a major Brazilian football club based in Porto Alegre.
-
A.
Inter
Inter is a major Italian professional football club based in Milan, renowned for its domestic and international successes, including multiple Serie A and UEFA Champions League titles.
-
B.
Ins
Ins is a small Swiss municipality located in the Seeland region of the canton of Bern, known for its agricultural landscape and proximity to the lakes of Biel, Neuchâtel, and Murten.
-
C.
INE
INE is Chile’s National Statistics Institute, responsible for producing and disseminating official statistical information for the country.
-
D.
Im
Im is a common Korean family name, often romanized as Lim or Yim, with several distinct clan lineages in Korea.
-
E.
Ent
An Ent is a giant, ancient, tree-like guardian of the forests in J.R.R. Tolkien’s Middle-earth legendarium.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fd8f1948190adbb947a7870bb43 |
completed | April 20, 2026, 6:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a084b887c6081908fc79047cf4f73c6 |
completed | May 16, 2026, 10:48 a.m. |
| NEDg | Description generation | batch_6a084c6561ec8190b1eee3d94aeb5009 |
completed | May 16, 2026, 10:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a084d0ac2f881909be142d6b30cc9ec |
completed | May 16, 2026, 10:55 a.m. |
Created at: April 11, 2026, 11:39 p.m.