Triple
T4325876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SciPy Developers |
E96632
|
entity |
| Predicate | contributionTypes |
P54536
|
FINISHED |
| Object | code |
—
|
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: code | Statement: [SciPy Developers, contributionTypes, code]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contributionTypes Context triple: [SciPy Developers, contributionTypes, code]
-
A.
recognizesContributionType
Indicates that an entity acknowledges or identifies a specific type or category of contribution made by another entity.
-
B.
contributionBase
Indicates the foundational amount, value, or resource on which a contribution, payment, or benefit is calculated or determined.
-
C.
tributeTo
Indicates that one entity is created, given, or dedicated as a mark of respect, admiration, or honor toward another entity.
-
D.
typeOfDonations
chosen
Indicates the kinds or categories of donations involved in a given context or transaction.
-
E.
workTypeContributedTo
Indicates that an entity contributed to the creation, development, or production of a particular type of work.
- 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3513020f481909ff2fec3934f3002 |
completed | March 12, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69b34f4bec888190987fc2631498b637 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:13 p.m.