Triple
T15965202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royals (Upper Darby High School) |
E387168
|
entity |
| Predicate | hasHomeInstitutionType |
P55410
|
FINISHED |
| Object | public high school |
—
|
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: public high school | Statement: [Royals (Upper Darby High School), hasHomeInstitutionType, public high school]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHomeInstitutionType Context triple: [Royals (Upper Darby High School), hasHomeInstitutionType, public high school]
-
A.
hasPrimaryInstitutionType
chosen
Indicates that an entity’s main or principal institutional classification or category is of a specified type.
-
B.
hasInstitutionalHome
Indicates that an entity is formally based in, hosted by, or affiliated with a particular institution as its organizational home.
-
C.
hasLocalInstitution
Indicates that a given place or region possesses or hosts an institution that operates locally within its boundaries.
-
D.
hasStateInstitution
Indicates that a particular state possesses, governs, or is served by a specific institution operating under its authority or within its jurisdiction.
-
E.
hasInstitutions
Indicates that one entity possesses, contains, or is associated with one or more institutions.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142d6fb588190b4176eab4bbae774 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:54 a.m.