Triple
T15675291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STP Saints |
E377426
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
Saints
Saints is a professional rugby union team based in Northampton, England, competing in the Premiership.
|
E1036818
|
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: Saints | Statement: [STP Saints, shortName, Saints]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saints Context triple: [STP Saints, shortName, Saints]
-
A.
Saints
The Saints are the athletic teams and mascot identity representing Aquinas College in collegiate sports and campus activities.
-
B.
Saints
The Saints are the athletic teams and mascot identity representing Presentation College in collegiate sports.
-
C.
Saints
Saints is the common nickname for Southampton Football Club, an English professional football team based in Southampton that competes in the English football league system.
-
D.
Saints
The Saints are the athletic teams representing Siena College in intercollegiate sports.
-
E.
Saints
Saints is the commonly used nickname for St Helens R.F.C., a prominent professional rugby league club based in St Helens, Merseyside, England.
- 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: Saints Triple: [STP Saints, shortName, Saints]
Generated description
Saints is a professional rugby union team based in Northampton, England, competing in the Premiership.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saints Target entity description: Saints is a professional rugby union team based in Northampton, England, competing in the Premiership.
-
A.
Saints
chosen
Saints is the commonly used short name for the English professional rugby union club Northampton Saints.
-
B.
Saints
Saints is the common nickname for Southampton Football Club, an English professional football team based in Southampton that competes in the English football league system.
-
C.
Saints
Saints is the commonly used nickname for St Helens R.F.C., a prominent professional rugby league club based in St Helens, Merseyside, England.
-
D.
Saints
Saints is a common nickname for the St George Illawarra Dragons, a professional rugby league club based in New South Wales, Australia, competing in the National Rugby League (NRL).
-
E.
Saints
The Saints are the Australian Football League team representing the St Kilda Football Club, known for their red, white, and black colors and passionate supporter base.
- F. None of above.
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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f2c996c8190a9ebe0e92608feaa |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff756b9af48190a634f23ace966ae9 |
completed | May 9, 2026, 5:56 p.m. |
| NEDg | Description generation | batch_69ff76f7342c8190a6795008f5d8675b |
completed | May 9, 2026, 6:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff7756571c8190aa0a8b46306436e4 |
completed | May 9, 2026, 6:05 p.m. |
Created at: April 10, 2026, 4:16 a.m.