Triple

T5480207
Position Surface form Disambiguated ID Type / Status
Subject TISPAN E123449 entity
Predicate acronym P43 FINISHED
Object TISPAN E123449 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: TISPAN | Statement: [TISPAN, acronym, TISPAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TISPAN
Context triple: [TISPAN, acronym, TISPAN]
  • A. TISPAN chosen
    TISPAN is an ETSI standardization body focused on developing next-generation network and IP-based multimedia communication standards for fixed and mobile telecommunications.
  • B. TWNIC
    TWNIC is Taiwan’s official network information center responsible for managing domain names, IP address allocation, and related internet infrastructure services in Taiwan.
  • C. T-Com
    T-Com is a telecommunications brand associated with Deutsche Telekom, known for providing mobile and fixed-line communication services and sponsoring major sports venues.
  • D. BNNIC
    BNNIC is the official domain name registry responsible for managing and administering the .bn country-code top-level domain for Brunei.
  • E. Taiwan Network Information Center
    Taiwan Network Information Center is the organization responsible for administering Taiwan’s internet infrastructure, including domain name and IP address allocation.
  • 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_69bd4648883481909e9775d43300c5fa completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9248ca348190aa116cace0f9b07a completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf48a2880c8190ad76cf8c3862aede completed March 22, 2026, 1:40 a.m.
Created at: March 20, 2026, 2:09 p.m.