Triple
T4686560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharks (rugby union) |
E103933
|
entity |
| Predicate | hasWomenTeam |
P13104
|
FINISHED |
| Object |
Sharks Women
Sharks Women is the women's rugby union team associated with the professional Sharks franchise based in Durban, South Africa.
|
E460873
|
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: Sharks Women | Statement: [Sharks (rugby union), hasWomenTeam, Sharks Women]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sharks Women Context triple: [Sharks (rugby union), hasWomenTeam, Sharks Women]
-
A.
Sale Sharks
Sale Sharks are a professional rugby union club based in Greater Manchester, competing in England’s Premiership Rugby.
-
B.
Stingers
Stingers is the nickname for the varsity sports teams representing Concordia University in Montreal, Canada.
-
C.
Seawolves
The Seawolves are the intercollegiate athletic teams representing the University of Alaska Anchorage in NCAA sports.
-
D.
Sharks Sports & Entertainment
Sharks Sports & Entertainment is the sports and entertainment company that operates and manages the NHL’s San Jose Sharks and related business ventures.
-
E.
Texas Stingray
Texas Stingray is a wooden roller coaster at SeaWorld San Antonio known for its high speeds, airtime hills, and status as one of the tallest and fastest wooden coasters in Texas.
- 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: Sharks Women Triple: [Sharks (rugby union), hasWomenTeam, Sharks Women]
Generated description
Sharks Women is the women's rugby union team associated with the professional Sharks franchise based in Durban, South Africa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sharks Women Target entity description: Sharks Women is the women's rugby union team associated with the professional Sharks franchise based in Durban, South Africa.
-
A.
Sale Sharks
Sale Sharks are a professional rugby union club based in Greater Manchester, competing in England’s Premiership Rugby.
-
B.
Stingers
Stingers is the nickname for the varsity sports teams representing Concordia University in Montreal, Canada.
-
C.
Seawolves
The Seawolves are the intercollegiate athletic teams representing the University of Alaska Anchorage in NCAA sports.
-
D.
Sharks Sports & Entertainment
Sharks Sports & Entertainment is the sports and entertainment company that operates and manages the NHL’s San Jose Sharks and related business ventures.
-
E.
Texas Stingray
Texas Stingray is a wooden roller coaster at SeaWorld San Antonio known for its high speeds, airtime hills, and status as one of the tallest and fastest wooden coasters in Texas.
- 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd638593048190ad4af82f735d467a |
completed | March 20, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03b3b0208190bb307cdd53f44306 |
completed | March 21, 2026, 2:34 a.m. |
| NEDg | Description generation | batch_69be044180a081908df9bdac583197e9 |
completed | March 21, 2026, 2:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be04af089c8190b6b0dfae4bb71b4a |
completed | March 21, 2026, 2:38 a.m. |
Created at: March 20, 2026, 1:16 p.m.