Triple
T8323978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warrington Academy |
E194901
|
entity |
| Predicate | admitted |
P81942
|
FINISHED |
| Object | male students |
—
|
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: male students | Statement: [Warrington Academy, admitted, male students]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: admitted Context triple: [Warrington Academy, admitted, male students]
-
A.
admittedTo
Indicates that one entity has been formally accepted, enrolled, or granted entry into another entity, such as an institution, program, or facility.
-
B.
adopted
Indicates that one entity has legally taken another (often a child or animal) into its family or care as a permanent member.
-
C.
admittedState
Indicates that an entity has been formally accepted or allowed into a particular state or condition.
-
D.
acceptedIn
Indicates that something has been formally received, approved, or admitted into a particular context, group, or system.
-
E.
standardAdmitted
Indicates that an entity has been formally accepted or approved according to an established standard or set of criteria.
- 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_69ca82e7a8a88190a32bb5cc0feb012d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f7cf49c8190b8440ff01926a66a |
completed | March 31, 2026, 8:02 a.m. |
| PD | Predicate disambiguation | batch_69cb70bf689c8190a9d9b6b872abf53d |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb77690720819099de1e22b84a9563 |
completed | March 31, 2026, 7:27 a.m. |
Created at: March 30, 2026, 5:56 p.m.