Triple
T37005556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PEP 644 |
E915783
|
entity |
| Predicate | setsMinimumVersion |
P100224
|
FINISHED |
| Object | OpenSSL 1.1.1 |
—
|
NE NERFINISHED |
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: OpenSSL 1.1.1 | Statement: [PEP 644, setsMinimumVersion, OpenSSL 1.1.1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setsMinimumVersion Context triple: [PEP 644, setsMinimumVersion, OpenSSL 1.1.1]
-
A.
setsMinimumRules
Indicates that one entity establishes the lowest acceptable standards or baseline rules that another entity must follow.
-
B.
requiresClientVersionAtLeast
chosen
Indicates that performing this action or relationship is only valid if the client's version is greater than or equal to a specified minimum version.
-
C.
setsMinimumAge
Indicates that an entity establishes the lowest permissible age required for participation, access, or eligibility in relation to another entity or activity.
-
D.
setsMinimumRepresentation
Indicates that one entity establishes the lowest acceptable level, amount, or standard at which another entity must be represented or expressed.
-
E.
setsMinimumAgeForPurchase
Indicates that an entity establishes the lowest allowable age at which another entity is permitted to make a purchase.
- 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_69f76e90ed548190b187d2475f5c807d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.