Triple
T24343491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campbell Hall School boys' basketball team |
E613577
|
entity |
| Predicate | homeInstitutionCounty |
P58210
|
FINISHED |
| Object | Los Angeles County |
—
|
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: Los Angeles County | Statement: [Campbell Hall School boys' basketball team, homeInstitutionCounty, Los Angeles County]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeInstitutionCounty Context triple: [Campbell Hall School boys' basketball team, homeInstitutionCounty, Los Angeles County]
-
A.
homeCounty
Indicates that a specified county is the primary home or place of residence for a given person or entity.
-
B.
homeInstitutionLocation
chosen
Indicates the geographic place where an entity’s primary or home institution is located.
-
C.
campusCounty
Indicates that a campus is located within or associated with a particular county.
-
D.
inCounty
Indicates that one entity is geographically or administratively located within the boundaries of a specified county.
-
E.
homeInstitutionFoundedIn
Indicates that the institution serving as a home or primary affiliation for an entity was established in a specified year or time period.
- 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_69e2d7dcc5a08190b53691130d56cbc4 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f293270c908190872e0ec38f391fa5 |
completed | April 29, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 1:57 a.m.