Triple
T25475757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Highland Park Scots track and field team |
E638428
|
entity |
| Predicate | hasAthletes |
P17934
|
FINISHED |
| Object | Highland Park High School students |
—
|
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: Highland Park High School students | Statement: [Highland Park Scots track and field team, hasAthletes, Highland Park High School students]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAthletes Context triple: [Highland Park Scots track and field team, hasAthletes, Highland Park High School students]
-
A.
hasAthlete
chosen
Indicates a relationship where an entity (such as a team, organization, or event) includes or is associated with one or more athletes.
-
B.
athletesFrom
Indicates that one or more athletes originate from, represent, or are associated with a particular place or organization.
-
C.
hasOlympians
Indicates that an entity includes, is associated with, or contains one or more Olympian participants or members.
-
D.
hasAthletics
Indicates that an entity participates in, is associated with, or offers athletics-related activities or programs.
-
E.
isAthlete
Indicates that an entity participates in sports or athletic activities, typically at a competitive or professional level.
- 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_69e75db9b964819096802dcf502e577e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f7555c688190b28c0de18902fdbe |
completed | May 2, 2026, 1:08 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 2:26 p.m.