Triple
T883407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shrewsbury School |
E19074
|
entity |
| Predicate | hasBoarders |
P16557
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Shrewsbury School, hasBoarders, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBoarders Context triple: [Shrewsbury School, hasBoarders, yes]
-
A.
hasBoardingStudents
chosen
Indicates that an educational institution accommodates students who reside on campus as boarders.
-
B.
hasBalcony
Indicates that a building or dwelling includes a balcony as part of its structure or features.
-
C.
hasBalustrades
Indicates that one entity features or is equipped with balustrades as part of its structure or design.
-
D.
hasParentHouse
Indicates that an entity is associated with or belongs to a specific parent house within a hierarchical or familial structure.
-
E.
hasBoardingType
Indicates the specific manner or method by which an entity is boarded or accessed (e.g., how passengers or items are taken on).
- 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_69a4939c32488190a7ccd41cf0abb22b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4accda4148190aa628dab14d7f5de |
completed | March 1, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69a4aa8eca748190b58e0f08b30fba43 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.