Triple

T12562641
Position Surface form Disambiguated ID Type / Status
Subject Relational Technology Inc. E295386 entity
Predicate developed P73 FINISHED
Object INGRES E991187 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: INGRES | Statement: [Relational Technology Inc., developed, INGRES]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: INGRES
Context triple: [Relational Technology Inc., developed, INGRES]
  • A. INGRES chosen
    INGRES is an early relational database management system that pioneered many concepts in modern database technology and influenced several later commercial systems.
  • B. INS
    INS was the former U.S. federal agency responsible for administering and enforcing immigration and naturalization laws before its functions were transferred to the Department of Homeland Security.
  • C. Ing
    Ing is a shortened form or nickname derived from the given name Ingrid.
  • D. IN-TR
    IN-TR is the ISO 3166-2 code that uniquely identifies the Indian state of Tripura.
  • E. IN-GJ
    IN-GJ is the ISO 3166-2 code representing the Indian state of Gujarat.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95494ae1c81908b9ee14b8ef92a65 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65eb71c548190826d243a354bd01c completed May 2, 2026, 8:29 p.m.
Created at: April 8, 2026, 11:48 p.m.