Triple
T31701639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dayton Triangles |
E809070
|
entity |
| Predicate | firstNFLGameOpponent |
P8304
|
FINISHED |
| Object |
Columbus Panhandles
The Columbus Panhandles were an early 20th-century professional American football team based in Columbus, Ohio, known as one of the founding members of the NFL.
|
E1973526
|
NE FINISHED |
How this triple was built (3 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: Columbus Panhandles | Statement: [Dayton Triangles, firstNFLGameOpponent, Columbus Panhandles]
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: Columbus Panhandles Triple: [Dayton Triangles, firstNFLGameOpponent, Columbus Panhandles]
Generated description
The Columbus Panhandles were an early 20th-century professional American football team based in Columbus, Ohio, known as one of the founding members of the NFL.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstNFLGameOpponent Context triple: [Dayton Triangles, firstNFLGameOpponent, Columbus Panhandles]
-
A.
firstGameOpponent
chosen
Indicates that one entity is the opponent faced by another entity in its first game or match.
-
B.
AFCChampionshipOpponent
Indicates that one team was the opposing team faced in an AFC Championship game by another team.
-
C.
finalOpponentTeam
Indicates the team that serves as the last or ultimate opposing team faced in a competition, series, or event.
-
D.
teamOpponent
Indicates that two teams are competing against each other as opponents in a game or match.
-
E.
SuperBowlOpponent
Indicates that two teams were opponents facing each other in a Super Bowl game.
- F. None of above.
Provenance (6 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_69f348de914081909fc8edff56f34dbe |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2b84c9fea48190bcdc6472b698b1d0 |
completed | June 12, 2026, 4:02 a.m. |
| NEDg | Description generation | batch_6a2b8590d4f48190b126ede3e93631b9 |
completed | June 12, 2026, 4:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2b85fe65348190801652c66bb72cf9 |
completed | June 12, 2026, 4:07 a.m. |
| PD | Predicate disambiguation | batch_6a0379e7aa0c8190bdc9ee4d54fc821b |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 30, 2026, 11:12 p.m.