Triple
T37278628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dowling Catholic High School |
E924717
|
entity |
| Predicate | hasGuidanceCounseling |
P72206
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Dowling Catholic High School, hasGuidanceCounseling, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGuidanceCounseling Context triple: [Dowling Catholic High School, hasGuidanceCounseling, yes]
-
A.
hasGuidanceDepartment
Indicates that an entity is associated with, or falls under the responsibility of, a specific guidance department.
-
B.
hasCollegeCounseling
Indicates that one entity provides college counseling services or support to another entity.
-
C.
providesGuidanceTo
Indicates that one entity offers direction, advice, or instruction to another entity.
-
D.
hasAdvising
chosen
Indicates that one entity provides guidance, counseling, or advisory support to another entity.
-
E.
guidanceType
Indicates the specific kind or category of guidance being provided or referenced in the relationship between entities.
- 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_69f76eacdd8c819094080d3991e6d37c |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:16 p.m.