Triple

T2442334
Position Surface form Disambiguated ID Type / Status
Subject Division of Humanities and Social Sciences E53305 entity
Predicate shortName P43 FINISHED
Object HSS E123455 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: HSS | Statement: [Division of Humanities and Social Sciences, shortName, HSS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HSS
Context triple: [Division of Humanities and Social Sciences, shortName, HSS]
  • A. HSS chosen
    HSS (Home Subscriber Server) is a core network database in IP Multimedia Subsystem (IMS) architectures that manages user identities, subscription profiles, and authentication for telecom services.
  • B. HSSS
    HSSS is the ICAO airport code for Khartoum International Airport, the main international gateway to Sudan’s capital city.
  • C. HES
    HES is the commonly used abbreviation for Historic Environment Scotland, the public body responsible for protecting and promoting Scotland’s historic environment.
  • D. HS
    HS is an internationally standardized system of names and numbers used to classify traded products for customs and statistical purposes.
  • E. HSM
    A Hardware Security Module (HSM) is a dedicated, tamper-resistant device used to securely generate, store, and manage cryptographic keys and perform sensitive cryptographic operations.
  • 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_69ab495b6dac8190ac82661aa1452222 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abca20d2088190846162b85472d739 completed March 7, 2026, 6:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0b768f8819084fb74a3a2643cb8 completed March 9, 2026, 4:09 p.m.
Created at: March 6, 2026, 9:43 p.m.