Triple
T14039501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sale Sharks |
E337804
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Sale FC |
E337805
|
NE FINISHED |
How this triple was built (2 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: Sale FC | Statement: [Sale Sharks, formerName, Sale FC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sale FC Context triple: [Sale Sharks, formerName, Sale FC]
-
A.
Sale FC
chosen
Sale FC is a football club based in the town of Sale, known for representing the local community in competitive soccer.
-
B.
Reading F.C.
Reading F.C. is a professional English football club based in Reading, Berkshire, known for competing in the English Football League and for its long-standing presence in the national game.
-
C.
Sky Blues
Sky Blues is the popular nickname of Sydney FC, a professional football club based in Sydney, Australia.
-
D.
Sky Blue Soccer
Sky Blue Soccer is the ownership group behind the professional women’s soccer club formerly known as Sky Blue FC (now NJ/NY Gotham FC) in the National Women’s Soccer League.
-
E.
901 FC
901 FC is a professional soccer club based in Memphis, Tennessee, competing in the USL Championship.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de30ee374081908b6b5e8f81dd90f2 |
completed | April 14, 2026, 12:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc33bc20081909abea7e64d1bd578 |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:20 p.m.