Triple

T10532275
Position Surface form Disambiguated ID Type / Status
Subject SHA-256 E248473 entity
Predicate usedIn P98 FINISHED
Object PGP E35340 NE 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: PGP | Statement: [SHA-256, usedIn, PGP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PGP
Context triple: [SHA-256, usedIn, PGP]
  • A. PGP chosen
    PGP (Pretty Good Privacy) is an encryption program that provides cryptographic privacy and authentication for data communication, most notably for securing emails and files.
  • B. Pgp
    Pgp is a membrane transport protein that functions as an ATP-dependent efflux pump, playing a key role in multidrug resistance by exporting various drugs and xenobiotics out of cells.
  • C. GNU Privacy Guard
    GNU Privacy Guard is a free, open-source implementation of the OpenPGP standard used for encrypting and signing data and communications.
  • D. gpgsm
    gpgsm is the GNU Privacy Guard component that handles S/MIME public key cryptography, including X.509 certificate management and related operations.
  • E. PGPL
    PGPL is the top professional football league in Iran, featuring the country’s leading clubs in the highest tier of its league system.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a17f23081909f3372e160e21670 completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e471e9c8190b134249073b289bd completed April 10, 2026, 2:50 p.m.
Created at: April 6, 2026, 12:30 p.m.