Triple
T37003740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minnesota high school cross country state meet |
E915724
|
entity |
| Predicate | teamRecognition |
P49409
|
FINISHED |
| Object | trophies for top teams |
—
|
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: trophies for top teams | Statement: [Minnesota high school cross country state meet, teamRecognition, trophies for top teams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamRecognition Context triple: [Minnesota high school cross country state meet, teamRecognition, trophies for top teams]
-
A.
teamHonor
chosen
Indicates that an honor, award, or recognition is attributed to or received by a team.
-
B.
teamSpecialRecognition
Indicates that a team receives special recognition or distinction beyond standard acknowledgment.
-
C.
teamHonourWith
Indicates that a team has been awarded or recognized with a particular honour or distinction.
-
D.
teamHonour
Indicates that a team has received or been awarded a particular honour, title, or distinction.
-
E.
teamHonors
Indicates that a team has received a particular honor, award, or title.
- 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_69f76e90ed548190b187d2475f5c807d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:14 p.m.