Triple
T2867808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lamar Hunt U.S. Open Cup 1997 |
E63481
|
entity |
| Predicate | includesParticipantsFrom |
P2434
|
FINISHED |
| Object | professional clubs |
—
|
LITERAL FINISHED |
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: professional clubs | Statement: [Lamar Hunt U.S. Open Cup 1997, includesParticipantsFrom, professional clubs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesParticipantsFrom Context triple: [Lamar Hunt U.S. Open Cup 1997, includesParticipantsFrom, professional clubs]
-
A.
participantFrom
Indicates that a participant originates from, is associated with, or comes out of a specified source, group, or context.
-
B.
hasParticipants
chosen
Indicates that an event, activity, or situation involves one or more entities as participants in it.
-
C.
includedWith
Indicates that one entity is provided or packaged together as part of another entity.
-
D.
welcomesParticipantsOf
Indicates that one entity receives or greets the participants associated with another entity in a friendly or accepting manner.
-
E.
determinesParticipantIn
Indicates that one entity has the authority or role to decide or specify which other entity (or entities) will participate in a given event, activity, or process.
- F. None of above.
Provenance (3 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_69ab4c42fb8c8190b36e161d47c03b81 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdfbcebcc81909a78a1787d823e3e |
completed | March 7, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69abdd123ec48190af50a1859aea50b7 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:02 p.m.