Triple
T24856721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indian Mountain School |
E622048
|
entity |
| Predicate | lowerSchoolCampus |
P157850
|
FINISHED |
| Object | Lower Campus, Indian Mountain School |
—
|
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: Lower Campus, Indian Mountain School | Statement: [Indian Mountain School, lowerSchoolCampus, Lower Campus, Indian Mountain School]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowerSchoolCampus Context triple: [Indian Mountain School, lowerSchoolCampus, Lower Campus, Indian Mountain School]
-
A.
lowerSchoolLocation
Indicates the place where an entity attended or was enrolled in lower (primary or elementary) school.
-
B.
primaryEducationalInstitution
Indicates that one educational institution is the main or principal place of formal education for a given entity.
-
C.
daySchool
Indicates that an entity attends or is enrolled in a school that operates primarily during the daytime.
-
D.
primarySchool
Indicates that one entity serves as the primary (elementary) school attended by, associated with, or designated for the other entity.
-
E.
elementarySchoolName
Indicates the name of the elementary school associated with a given entity.
- F. None of above. chosen
Provenance (4 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_69e2fac350d08190b3affde1b451a8c5 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d6ef33081908f5d36ba1ae5f473 |
completed | May 1, 2026, 6:51 a.m. |
| PDg | Predicate description generation | batch_69f45300bd488190bb1d4160f5534ef6 |
completed | May 1, 2026, 7:15 a.m. |
Created at: April 18, 2026, 5:21 a.m.