Triple
T11074820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | APHINITY trial |
E261835
|
entity |
| Predicate | reportedInitialResultsYear |
P14790
|
FINISHED |
| Object | 2017 |
—
|
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: 2017 | Statement: [APHINITY trial, reportedInitialResultsYear, 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reportedInitialResultsYear Context triple: [APHINITY trial, reportedInitialResultsYear, 2017]
-
A.
firstReportedYear
chosen
Indicates the year in which something was initially reported, documented, or made known for the first time.
-
B.
firstRecordedSurveyYear
Indicates the calendar year in which the survey was first conducted or recorded for the entity.
-
C.
returnYear
Indicates the year in which something is returned or given back to its original owner, place, or state.
-
D.
claimedYear
Indicates the year that is asserted or reported as being associated with an event, status, or fact, regardless of whether it is verified.
-
E.
firstReviewYear
Indicates the calendar year in which an entity received its first review.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7994efb608190a81bc8c4d16ddbd0 |
completed | April 9, 2026, 12:19 p.m. |
| PD | Predicate disambiguation | batch_69d74415403c81909778bcd829e8832e |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:26 p.m.