Triple

T4279520
Position Surface form Disambiguated ID Type / Status
Subject PostGIS E97115 entity
Predicate supportsFormat P203 FINISHED
Object GML E48510 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: GML | Statement: [PostGIS, supportsFormat, GML]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GML
Context triple: [PostGIS, supportsFormat, GML]
  • A. GML chosen
    GML (Geography Markup Language) is an XML-based standard developed by the Open Geospatial Consortium for modeling, transporting, and storing geographic information and spatial features.
  • B. GDB
    GDB is a powerful open-source debugger from the GNU Project used to analyze and control the execution of programs written in languages like C, C++, and Fortran.
  • C. Ga language
    The Ga language is a Niger-Congo language spoken primarily by the Ga people in and around Accra, the capital of Ghana.
  • D. GROM
    GROM is Poland’s elite special operations unit renowned for high-risk counterterrorism, hostage rescue, and unconventional warfare missions.
  • E. NXC (Not eXactly C)
    NXC (Not eXactly C) is a C-like high-level programming language designed for developing programs for LEGO Mindstorms NXT robots.
  • 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_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350367da48190b735deef9b5d2d2e completed March 12, 2026, 11:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7b708b481908c1683741f84ee55 completed March 14, 2026, 7:32 p.m.
Created at: March 12, 2026, 11:07 p.m.