Triple
T31701640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dayton Triangles |
E809070
|
entity |
| Predicate | firstNFLGameVenue |
P207496
|
FINISHED |
| Object |
Triangle Park
Triangle Park is a historic football field in Dayton, Ohio, best known as the site of the first game in National Football League history.
|
E2286092
|
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: Triangle Park | Statement: [Dayton Triangles, firstNFLGameVenue, Triangle Park]
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: Triangle Park Triple: [Dayton Triangles, firstNFLGameVenue, Triangle Park]
Generated description
Triangle Park is a historic football field in Dayton, Ohio, best known as the site of the first game in National Football League history.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstNFLGameVenue Context triple: [Dayton Triangles, firstNFLGameVenue, Triangle Park]
-
A.
NFCChampionshipSite
Indicates the location where the NFC Championship game is held.
-
B.
SuperBowlVenue
Indicates that a location serves as the host venue where a particular Super Bowl game is played.
-
C.
gameOfTheCenturyVenue
Indicates the venue where the event known as the "Game of the Century" took place.
-
D.
firstSuperBowlInCity
Indicates that the referenced Super Bowl is the first one ever held in the specified city.
-
E.
superBowlXLIXVenue
Indicates the venue (stadium or location) where Super Bowl XLIX was held.
- F. None of above. chosen
Provenance (7 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_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a464b0ba2248190b88a253f6da98b27 |
completed | July 2, 2026, 11:27 a.m. |
| NEDg | Description generation | batch_6a464bc92d8c81908e6a0ad938840123 |
completed | July 2, 2026, 11:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a464c3d5e748190beae969583298369 |
completed | July 2, 2026, 11:32 a.m. |
| PD | Predicate disambiguation | batch_6a0379e7aa0c8190bdc9ee4d54fc821b |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7ee0388190a29faeb5cdb0950a |
completed | May 12, 2026, 7:16 p.m. |
Created at: April 30, 2026, 11:12 p.m.