Triple
T23993421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MIT course 2.70/2.007 design competition |
E605126
|
entity |
| Predicate | semesterOffered |
P9675
|
FINISHED |
| Object | spring term (typical) |
—
|
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: spring term (typical) | Statement: [MIT course 2.70/2.007 design competition, semesterOffered, spring term (typical)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: semesterOffered Context triple: [MIT course 2.70/2.007 design competition, semesterOffered, spring term (typical)]
-
A.
isOfferedThrough
Indicates that something (such as a service, course, or product) is made available or provided via a particular channel, platform, or intermediary.
-
B.
programOffered
Indicates that a particular program is made available or provided by a given entity (such as an institution, organization, or provider).
-
C.
hasSummerCourses
Indicates that an entity offers or includes courses that take place during the summer term.
-
D.
mayBeOfferedFor
Indicates that one entity can potentially be provided or made available as an option to another entity.
-
E.
offeredIn
chosen
Indicates that something is made available or provided within a particular context, setting, or medium.
- 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_69e295463f7c8190b1c19dbd114641b9 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d38ce7fc8190a488991b6f61416b |
completed | April 29, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69f1615994c48190a5de95d3f7e5cd0a |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:38 p.m.