Triple
T14842553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Charleston Cougars |
E348998
|
entity |
| Predicate | homeBasketballArena |
P791
|
FINISHED |
| Object |
TD Arena
TD Arena is a multi-purpose sports venue in Charleston, South Carolina, best known as the on-campus basketball arena for the College of Charleston.
|
E1121454
|
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: TD Arena | Statement: [College of Charleston Cougars, homeBasketballArena, TD Arena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TD Arena Context triple: [College of Charleston Cougars, homeBasketballArena, TD Arena]
-
A.
ST Arena
ST Arena was the former name of Ondrej Nepela Arena, a major multi-purpose ice hockey and events venue in Bratislava, Slovakia.
-
B.
BTarena
BTarena is a major indoor multi-purpose sports and events arena located in Cluj-Napoca, Romania.
-
C.
G‑Drive Arena
G‑Drive Arena is a modern ice hockey venue in Omsk, Russia, primarily known as the home rink of the KHL club Avangard Omsk.
-
D.
T-Com Arena
T-Com Arena was the former sponsored name of Bratislava’s main ice hockey and multi-purpose venue now known as Ondrej Nepela Arena.
-
E.
Tegera Arena
Tegera Arena is an ice hockey arena in Leksand, Sweden, best known as the home venue of the Leksands IF hockey team.
- 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: TD Arena Triple: [College of Charleston Cougars, homeBasketballArena, TD Arena]
Generated description
TD Arena is a multi-purpose sports venue in Charleston, South Carolina, best known as the on-campus basketball arena for the College of Charleston.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TD Arena Target entity description: TD Arena is a multi-purpose sports venue in Charleston, South Carolina, best known as the on-campus basketball arena for the College of Charleston.
-
A.
ST Arena
ST Arena was the former name of Ondrej Nepela Arena, a major multi-purpose ice hockey and events venue in Bratislava, Slovakia.
-
B.
BTarena
BTarena is a major indoor multi-purpose sports and events arena located in Cluj-Napoca, Romania.
-
C.
G‑Drive Arena
G‑Drive Arena is a modern ice hockey venue in Omsk, Russia, primarily known as the home rink of the KHL club Avangard Omsk.
-
D.
T-Com Arena
T-Com Arena was the former sponsored name of Bratislava’s main ice hockey and multi-purpose venue now known as Ondrej Nepela Arena.
-
E.
Tegera Arena
Tegera Arena is an ice hockey arena in Leksand, Sweden, best known as the home venue of the Leksands IF hockey team.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded28fa49c81908d1059e6cafd607f |
completed | April 14, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe38ab372881909f60435e73424aea |
completed | May 8, 2026, 7:25 p.m. |
| NEDg | Description generation | batch_69fe3b2bb95c819092a280384b71461d |
completed | May 8, 2026, 7:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe3bbf7de481908cc8b65a8e737d31 |
completed | May 8, 2026, 7:38 p.m. |
Created at: April 10, 2026, 1:53 a.m.