Triple
T33429064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marlborough College |
E856073
|
entity |
| Predicate | coEducationIntroducedIn |
P176600
|
FINISHED |
| Object | 1989 |
—
|
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: 1989 | Statement: [Marlborough College, coEducationIntroducedIn, 1989]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coEducationIntroducedIn Context triple: [Marlborough College, coEducationIntroducedIn, 1989]
-
A.
coEducation
Indicates that an educational institution or program provides instruction to students of different genders together rather than separately.
-
B.
introducedEducationSystem
Indicates that an entity established or brought a particular education system into use for another entity or context.
-
C.
firstTaughtIn
Indicates the time or place at which something (such as a concept, subject, or course) was initially taught or introduced in an instructional context.
-
D.
madeEducation
Indicates that one entity created, provided, or was responsible for the education or educational formation of another entity.
-
E.
educates
Indicates that one entity provides instruction, knowledge, or training to another entity.
- F. None of above. chosen
Provenance (4 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_69f349709e7881908c342b4d34f555f4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e52a6d40819084472f6072c91e9f |
completed | May 3, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69f6e47c13348190a10528c84a401178 |
completed | May 3, 2026, 6 a.m. |
Created at: May 1, 2026, 1:36 a.m.