Triple

T16725734
Position Surface form Disambiguated ID Type / Status
Subject S-100 feature catalogue framework E406458 entity
Predicate relatedTo P37 FINISHED
Object S-100 data encoding formats E406458 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: S-100 data encoding formats | Statement: [S-100 feature catalogue framework, relatedTo, S-100 data encoding formats]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: S-100 data encoding formats
Context triple: [S-100 feature catalogue framework, relatedTo, S-100 data encoding formats]
  • A. S-100 metadata framework
    The S-100 metadata framework is an IHO-developed standard that defines a flexible, interoperable structure for describing and managing geospatial and hydrographic data within the broader S-100 universal hydrographic data model.
  • B. S-100 feature catalogue framework chosen
    The S-100 feature catalogue framework is a standardized model and methodology developed by the IHO for defining, organizing, and encoding geospatial features and attributes in modern hydrographic and marine information products.
  • C. Octet Encoding Rules
    Octet Encoding Rules (OER) is a set of ASN.1 encoding rules that represent data in a straightforward, fixed-length, and byte-aligned binary format to simplify parsing and improve efficiency.
  • D. S-100 Working Group
    The S-100 Working Group is a specialist body within the International Hydrographic Organization that develops and maintains the S-100 universal hydrographic data model and related standards for marine geospatial information.
  • E. Scott encoding
    Scott encoding is a method in lambda calculus for representing algebraic data types and their pattern matching behavior using higher-order functions.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38747e43c8190a44487c4a9c94c7b completed April 18, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d4627b8819087bbd3ae85a67dfc completed May 10, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:20 a.m.