Triple
T35848494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diwan |
E1036281
|
entity |
| Predicate | schoolName |
P108931
|
FINISHED |
| Object | Alexandra Bay State 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: Alexandra Bay State School | Statement: [Diwan, schoolName, Alexandra Bay State School]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: schoolName Context triple: [Diwan, schoolName, Alexandra Bay State School]
-
A.
schoolFullName
chosen
Indicates the complete official name of a school as a single descriptive string.
-
B.
schoolLed
Indicates that an activity, initiative, or process is directed, organized, or primarily controlled by a school or educational institution.
-
C.
schoolBelongsTo
Indicates that a particular school is owned by, affiliated with, or under the authority or jurisdiction of a specific organization, institution, or administrative entity.
-
D.
schoolBrand
Indicates that one entity is the brand, label, or marketing identity associated with a particular school or educational institution.
-
E.
elementarySchoolName
Indicates the name of the elementary school associated with a given entity.
- 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_69f76e1a29e8819088280f26096aeb55 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa3883d48190b05e3d2da7a017ae |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.