Triple
T24890620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIRST Tech Challenge judged awards set |
E622987
|
entity |
| Predicate | excludesAwardType |
P56586
|
FINISHED |
| Object | match play awards |
—
|
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: match play awards | Statement: [FIRST Tech Challenge judged awards set, excludesAwardType, match play awards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: excludesAwardType Context triple: [FIRST Tech Challenge judged awards set, excludesAwardType, match play awards]
-
A.
excludesAward
chosen
Indicates that one entity explicitly omits or disqualifies another entity from receiving a particular award.
-
B.
appliesToAwardType
Indicates that a rule, condition, or attribute is specifically relevant or applicable to a particular type or category of award.
-
C.
cannotBeAwardedTo
Indicates that a particular entity is ineligible to receive a specified award, prize, or recognition.
-
D.
notAwardedIn
Indicates that a particular award or recognition was not given to an entity within a specified context, such as a year, event, or category.
-
E.
excludedFrom
Indicates that one entity is deliberately not included within the scope, membership, or applicability of another entity or set.
- 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_69e2fac597708190a922bf39a49ec70a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cf017a88190b4985b11159c907d |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 18, 2026, 5:26 a.m.