Triple
T2451948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milton Academy |
E53724
|
entity |
| Predicate | isCoed |
P12428
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Milton Academy, isCoed, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCoed Context triple: [Milton Academy, isCoed, true]
-
A.
hasCoeducation
chosen
Indicates that an educational institution includes both male and female students together in its instructional programs.
-
B.
isSingleSex
Indicates that the entity involves or is restricted to only one biological sex or gender, rather than being mixed or coeducational.
-
C.
isUnisex
Indicates that something is suitable, designed, or intended for use by individuals of any gender.
-
D.
admissionGender
Indicates the gender-based criteria or classification applied in the context of admission or entry decisions.
-
E.
hasNumberOfGenders
Indicates the relationship that specifies how many distinct genders are associated with or recognized for 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_69ab495d227c8190b26ae6548eeb1019 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd2bc7b5481908b3664495e99f1a4 |
completed | March 7, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69abd0aed2688190a18fe66b98d80e0b |
completed | March 7, 2026, 7:15 a.m. |
Created at: March 6, 2026, 9:43 p.m.