Triple

T4279280
Position Surface form Disambiguated ID Type / Status
Subject PL/Python E97110 entity
Predicate documentationLocation P55178 FINISHED
Object PostgreSQL official documentation E17669 NE FINISHED

How this triple was built (3 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: PostgreSQL official documentation | Statement: [PL/Python, documentationLocation, PostgreSQL official documentation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PostgreSQL official documentation
Context triple: [PL/Python, documentationLocation, PostgreSQL official documentation]
  • A. PostgreSQL chosen
    PostgreSQL is a powerful open-source relational database management system known for its robustness, extensibility, and strong standards compliance.
  • B. 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.
  • C. PostGIS
    PostGIS is an open-source spatial database extender that adds robust geographic object support and spatial querying capabilities to PostgreSQL.
  • D. SQL
    SQL (Structured Query Language) is a standardized programming language used to manage, query, and manipulate data in relational database management systems.
  • E. PL/Python
    PL/Python is a procedural language extension for PostgreSQL that allows writing database functions and triggers in the Python programming language.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: documentationLocation
Context triple: [PL/Python, documentationLocation, PostgreSQL official documentation]
  • A. repositoryLocation
    Indicates the place or storage context where a repository is hosted, stored, or maintained.
  • B. configurationLocation
    Indicates the place or context where a configuration is stored, applied, or defined.
  • C. mainLocation
    Indicates that one entity serves as the primary or central location associated with another entity.
  • D. applicationLocation
    Indicates the place or environment where an application is deployed, used, or made available.
  • E. loggingLocation
    Indicates the place or destination where logs or logging information are recorded or stored.
  • F. None of above. chosen

Provenance (5 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.
PD Predicate disambiguation batch_69b347faa45481908c19c29fb906dc92 completed March 12, 2026, 11:10 p.m.
PDg Predicate description generation batch_69b34e0606488190baadf469a1afc3c2 completed March 12, 2026, 11:36 p.m.
Created at: March 12, 2026, 11:07 p.m.