Triple
T16952359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enovid |
E411214
|
entity |
| Predicate | firstApprovedUse |
P6318
|
FINISHED |
| Object | contraception |
—
|
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: contraception | Statement: [Enovid, firstApprovedUse, contraception]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstApprovedUse Context triple: [Enovid, firstApprovedUse, contraception]
-
A.
firstStandardApproved
Indicates that an entity is the earliest or initial standard that has received formal approval.
-
B.
firstUsedFor
chosen
Indicates that one entity was the earliest or original thing for which another entity was used or applied.
-
C.
firstUsedAs
Indicates that one entity was the earliest or original thing in which another entity was used or applied.
-
D.
wasFirstApprovedIn
Indicates the time or context in which something (such as a proposal, product, or document) received its initial official approval.
-
E.
firstIndependentCommissionUse
Indicates that an entity is being used for the first time by an independent commission or regulatory body.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0197f308190af7185fc9cc7a6e9 |
completed | April 18, 2026, 6:40 p.m. |
| PD | Predicate disambiguation | batch_69e32b9aa8748190b248890aca86753d |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:31 a.m.