Triple
T19112249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DISC |
E467815
|
entity |
| Predicate | typicalContributionType |
P118672
|
FINISHED |
| Object | research paper |
—
|
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: research paper | Statement: [DISC, typicalContributionType, research paper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalContributionType Context triple: [DISC, typicalContributionType, research paper]
-
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.
contributionBased
Indicates that something is determined, allocated, or structured according to the level or amount of contributions made by the involved entities.
-
D.
contributingResourceType
chosen
Indicates the type or category of a resource that contributes to or supports another resource or activity.
-
E.
typeOfDonations
Indicates the kinds or categories of donations involved in a given context or transaction.
- 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e394969c81909d09b2300ea0e041 |
completed | April 20, 2026, 8:28 a.m. |
| PD | Predicate disambiguation | batch_69e4b9ac41848190afd0f33b42cebe99 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:04 p.m.