Triple
T28693108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cincinnati Open |
E729338
|
entity |
| Predicate | oneOfOldestTournamentsIn |
P167925
|
FINISHED |
| Object | United States |
—
|
NE NERFINISHED |
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: United States | Statement: [Cincinnati Open, oneOfOldestTournamentsIn, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfOldestTournamentsIn Context triple: [Cincinnati Open, oneOfOldestTournamentsIn, United States]
-
A.
oneOfOldestWorldChampionshipEvents
Indicates that the event is among the earliest-established world championship competitions in its domain.
-
B.
isOneOfOldestConferencesIn
Indicates that a conference ranks among the oldest conferences within a specified location or domain.
-
C.
isOldestInternationalClubTournament
Indicates that the tournament is the earliest-established international club competition of its kind.
-
D.
oneOfOldestGrandsPrix
Indicates that the subject Grand Prix is among the earliest-established or longest-running Grand Prix races in existence.
-
E.
firstKnownTournament
Indicates the earliest tournament in which the entity is known or recorded to have participated or appeared.
- F. None of above. chosen
Provenance (4 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_69f043e60b6c8190ac2cd042e77fe6e9 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f66e5f7e30819094530abceabd5f43 |
completed | May 2, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69f66abfdaf08190a55f14c70be6fd4d |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66d75a8788190aa9ca2c977429045 |
completed | May 2, 2026, 9:32 p.m. |
Created at: April 28, 2026, 5:37 a.m.