Triple

T5481235
Position Surface form Disambiguated ID Type / Status
Subject SA1 E123469 entity
Predicate standardizationArea P19702 FINISHED
Object mobile services 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: mobile services | Statement: [SA1, standardizationArea, mobile services]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: standardizationArea
Context triple: [SA1, standardizationArea, mobile services]
  • A. standardizationScope chosen
    Indicates the extent or domain within which a standard or standardization effort is intended to apply or be enforced.
  • B. countryOfStandardization
    Indicates that a given standard, specification, or norm is officially established, adopted, or primarily recognized within a particular country.
  • C. standardizationStatus
    Indicates the current stage or condition of an entity in a formal standardization process (e.g., proposed, under review, approved, deprecated).
  • D. standardArea
    Indicates that an entity has a designated or officially defined area or size that serves as a standard reference.
  • E. regionStandard
    Indicates that something conforms to, is defined by, or is governed according to the official standards or norms of a particular region.
  • 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_69bd4648883481909e9775d43300c5fa completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd93e5d0f08190a6cc9fc408b7c5bb completed March 20, 2026, 6:37 p.m.
PD Predicate disambiguation batch_69bd91a73b148190a865243536a4fe76 completed March 20, 2026, 6:27 p.m.
Created at: March 20, 2026, 2:09 p.m.