Triple

T13349679
Position Surface form Disambiguated ID Type / Status
Subject A-0 System compiler E318037 entity
Predicate alsoKnownAs P39 FINISHED
Object A-0
A-0 is one of the earliest high-level programming language compilers, developed by Grace Hopper to automatically translate symbolic mathematical code into machine language.
E1034668 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: A-0 | Statement: [A-0 System compiler, alsoKnownAs, A-0]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A-0
Context triple: [A-0 System compiler, alsoKnownAs, A-0]
  • A. A-09
    A-09 is the internal station code used by the New York City Subway to identify the 96th Street station on the IND Eighth Avenue Line.
  • B. A-1
    A-1 is the station code assigned to Kabaty, the southern terminus of Warsaw Metro Line M1.
  • C. A-8
    A-8 is the station code assigned to Racławicka metro station on the Warsaw Metro system.
  • D. A210
    A210 is a classified road in the United Kingdom that serves the Blackfen area and connects it to surrounding parts of southeast London.
  • E. A20
    A20 is a major Australian highway route designation used for the Sturt Highway, an important east–west transport corridor.
  • 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: A-0
Triple: [A-0 System compiler, alsoKnownAs, A-0]
Generated description
A-0 is one of the earliest high-level programming language compilers, developed by Grace Hopper to automatically translate symbolic mathematical code into machine language.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: A-0
Target entity description: A-0 is one of the earliest high-level programming language compilers, developed by Grace Hopper to automatically translate symbolic mathematical code into machine language.
  • A. A-09
    A-09 is the internal station code used by the New York City Subway to identify the 96th Street station on the IND Eighth Avenue Line.
  • B. A-1
    A-1 is the station code assigned to Kabaty, the southern terminus of Warsaw Metro Line M1.
  • C. A-8
    A-8 is the station code assigned to Racławicka metro station on the Warsaw Metro system.
  • D. A210
    A210 is a classified road in the United Kingdom that serves the Blackfen area and connects it to surrounding parts of southeast London.
  • E. A20
    A20 is a major Australian highway route designation used for the Sturt Highway, an important east–west transport corridor.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8b28e48190a23194e03a74b41b completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f47fd7c8190b8d98a181acd7710 completed May 3, 2026, 10:11 a.m.
NEDg Description generation batch_69f7204b6f108190bca6a0140620e03e completed May 3, 2026, 10:15 a.m.
NED2 Entity disambiguation (via description) batch_69f720fbf0bc81908c68cf2844938e45 completed May 3, 2026, 10:18 a.m.
Created at: April 9, 2026, 9:31 p.m.