Triple
T30244951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abronhill |
E769030
|
entity |
| Predicate | formerlyHadSecondarySchool |
P140238
|
FINISHED |
| Object | Abronhill High 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: Abronhill High School | Statement: [Abronhill, formerlyHadSecondarySchool, Abronhill High School]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerlyHadSecondarySchool Context triple: [Abronhill, formerlyHadSecondarySchool, Abronhill High School]
-
A.
hasSecondarySchoolLevel
Indicates that an entity possesses or is associated with a level of education corresponding to secondary school.
-
B.
attendedHighSchoolIn
Indicates that an entity completed or was enrolled in high school education in a specified location.
-
C.
hasSecondaryEducationAccessIn
Indicates that an entity has access to secondary-level education within a specified location or jurisdiction.
-
D.
hasSchool
Indicates that an entity possesses, is associated with, or is served by a particular school.
-
E.
formerlyHadEducationalInstitution
chosen
Indicates that an entity once hosted or contained a particular educational institution, but that institution is no longer present or active there.
- 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_69f224831dc08190b2e569b987264057 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fed83b1d188190a318b0ad3003200a |
completed | May 9, 2026, 6:46 a.m. |
| PD | Predicate disambiguation | batch_69fed78e03548190b6e6ad93ae8d131d |
completed | May 9, 2026, 6:43 a.m. |
Created at: April 29, 2026, 7:39 p.m.