Triple

T2367800
Position Surface form Disambiguated ID Type / Status
Subject Geographic Information Systems E46022 entity
Predicate typicalSoftware P29151 FINISHED
Object PostGIS E97115 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: PostGIS | Statement: [Geographic Information Systems, typicalSoftware, PostGIS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PostGIS
Context triple: [Geographic Information Systems, typicalSoftware, PostGIS]
  • A. PostGIS chosen
    PostGIS is an open-source spatial database extender that adds robust geographic object support and spatial querying capabilities to PostgreSQL.
  • B. PostgreSQL
    PostgreSQL is a powerful open-source relational database management system known for its robustness, extensibility, and strong standards compliance.
  • C. GiST
    GiST (Generalized Search Tree) is a flexible indexing framework in PostgreSQL that allows the implementation of a wide variety of custom index types for complex data and queries.
  • D. GIS
    The Egyptian General Intelligence Service (GIS) is Egypt’s primary intelligence agency responsible for foreign intelligence gathering, national security, and covert operations.
  • E. PL/pgSQL
    PL/pgSQL is PostgreSQL’s procedural extension of SQL that allows writing stored functions and triggers with control structures like variables, loops, and conditionals.
  • 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_69a88a145268819083e2736cb835c696 completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abd0d813dc8190aa331cdca0b75eca completed March 7, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea89ae4688190be2e0825f0875ed3 completed March 9, 2026, 11:01 a.m.
Created at: March 4, 2026, 7:56 p.m.