Triple
T22050590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presentation (Topic 205) |
E544870
|
entity |
| Predicate | containsSubtopic |
P24066
|
FINISHED |
| Object | ASC 205-10 Overall |
—
|
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: ASC 205-10 Overall | Statement: [Presentation (Topic 205), containsSubtopic, ASC 205-10 Overall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsSubtopic Context triple: [Presentation (Topic 205), containsSubtopic, ASC 205-10 Overall]
-
A.
containsSubchapter
Indicates that one chapter or section includes another, more specific subchapter as a part of its structure.
-
B.
hasSubConcept
Indicates that one concept is a more specific, subordinate, or narrower idea within the scope of another, more general concept.
-
C.
includesTopics
chosen
Indicates that one entity contains, covers, or addresses the specified topics as part of its content or scope.
-
D.
hasSubdiscipline
Indicates that one discipline includes another, more specialized field of study as a subordinate branch.
-
E.
hasSubcriterion
Indicates that a criterion includes another, more specific criterion as a subordinate part of its evaluation structure.
- 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1283386f081908b70df81f38a5b1c |
completed | April 28, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69e6f643ca74819083e8ab78e843f243 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 8:26 p.m.