Triple
T27342876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mearns Academy |
E684155
|
entity |
| Predicate | hasPostPrimaryStatus |
P185296
|
FINISHED |
| Object | comprehensive school |
—
|
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: comprehensive school | Statement: [Mearns Academy, hasPostPrimaryStatus, comprehensive school]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPostPrimaryStatus Context triple: [Mearns Academy, hasPostPrimaryStatus, comprehensive school]
-
A.
hasPrimary
Indicates that one entity is designated as the main or most important instance (the primary) in relation to another entity.
-
B.
hadOfficialStatus
Indicates that an entity possessed a formally recognized or legally sanctioned status within an official system or authority.
-
C.
hasGradeStatus
Indicates that an entity holds a particular grade-related status or standing within an evaluation or grading system.
-
D.
hasJuniorStatus
Indicates that one entity holds a lower, subordinate, or less senior status relative to another entity within a defined hierarchy or context.
-
E.
hasPrimarySubject
Indicates that an entity is the main or principal subject associated with another entity or resource.
- 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_69ef1480a76481908684256ddd5bfda3 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69f7be520f148190ba200bf3dbf40656 |
completed | May 3, 2026, 9:29 p.m. |
Created at: April 27, 2026, 11:43 a.m.