Triple

T12562630
Position Surface form Disambiguated ID Type / Status
Subject Relational Technology Inc. E295386 entity
Predicate notableWork P4 FINISHED
Object INGRES
INGRES is an early relational database management system that pioneered many concepts in modern database technology and influenced several later commercial systems.
 E991187 NE FINISHED

How this triple was built (4 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., notableWork, INGRES]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: INGRES
Context triple: [Relational Technology Inc., notableWork, INGRES]
  • A. 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.
  • B. Ing
    Ing is a shortened form or nickname derived from the given name Ingrid.
  • C. IN-TR
    IN-TR is the ISO 3166-2 code that uniquely identifies the Indian state of Tripura.
  • D. IN-GJ
    IN-GJ is the ISO 3166-2 code representing the Indian state of Gujarat.
  • E. Ins
    Ins is a small Swiss municipality located in the Seeland region of the canton of Bern, known for its agricultural landscape and proximity to the lakes of Biel, Neuchâtel, and Murten.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: INGRES
Triple: [Relational Technology Inc., notableWork, INGRES]
Generated description
INGRES is an early relational database management system that pioneered many concepts in modern database technology and influenced several later commercial systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: INGRES
Target entity description: INGRES is an early relational database management system that pioneered many concepts in modern database technology and influenced several later commercial systems.
  • A. 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.
  • B. Ing
    Ing is a shortened form or nickname derived from the given name Ingrid.
  • C. IN-TR
    IN-TR is the ISO 3166-2 code that uniquely identifies the Indian state of Tripura.
  • D. IN-GJ
    IN-GJ is the ISO 3166-2 code representing the Indian state of Gujarat.
  • E. Ins
    Ins is a small Swiss municipality located in the Seeland region of the canton of Bern, known for its agricultural landscape and proximity to the lakes of Biel, Neuchâtel, and Murten.
  • 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_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_69f6558da7e0819086860bfaf394e2d8 completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f65a0f1b2881908a7cb21c9de1a5c2 completed May 2, 2026, 8:09 p.m.
NED2 Entity disambiguation (via description) batch_69f65ad4424c8190933759cca5d73c22 completed May 2, 2026, 8:13 p.m.
Created at: April 8, 2026, 11:48 p.m.