Triple

T10123128
Position Surface form Disambiguated ID Type / Status
Subject American Standard Version E223346 entity
Predicate alsoKnownAs P39 FINISHED
Object ASV
ASV is a 1901 English Bible translation known for its formal, literal rendering of the original Hebrew and Greek texts.
 E842639 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: ASV | Statement: [American Standard Version, alsoKnownAs, ASV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ASV
Context triple: [American Standard Version, alsoKnownAs, ASV]
  • A. AVSM
    AVSM is the post-nominal abbreviation used by recipients of the Ati Vishisht Seva Medal, a high-level Indian military decoration for distinguished service.
  • B. ASSE
    ASSE is the commonly used abbreviation for AS Saint-Étienne, a historic French professional football club known for its success in Ligue 1.
  • C. AVV
    AVV is the IATA airport code for Avalon Airport, a regional airport serving the Geelong and Melbourne areas in Victoria, Australia.
  • D. ASZ
    ASZ is a German vehicle registration code formerly used for the town of Aue-Schwarzenberg in the Erzgebirgskreis district of Saxony.
  • E. ASW
    ASW is the IATA airport code for Aswan International Airport in Aswan, Egypt.
  • 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: ASV
Triple: [American Standard Version, alsoKnownAs, ASV]
Generated description
ASV is a 1901 English Bible translation known for its formal, literal rendering of the original Hebrew and Greek texts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ASV
Target entity description: ASV is a 1901 English Bible translation known for its formal, literal rendering of the original Hebrew and Greek texts.
  • A. AVSM
    AVSM is the post-nominal abbreviation used by recipients of the Ati Vishisht Seva Medal, a high-level Indian military decoration for distinguished service.
  • B. ASSE
    ASSE is the commonly used abbreviation for AS Saint-Étienne, a historic French professional football club known for its success in Ligue 1.
  • C. AVV
    AVV is the IATA airport code for Avalon Airport, a regional airport serving the Geelong and Melbourne areas in Victoria, Australia.
  • D. ASZ
    ASZ is a German vehicle registration code formerly used for the town of Aue-Schwarzenberg in the Erzgebirgskreis district of Saxony.
  • E. ASW
    ASW is the IATA airport code for Aswan International Airport in Aswan, Egypt.
  • 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_69ca8422047c81909d66b717b8b18cf3 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd2ea7fe88190acb08d292a794638 completed April 2, 2026, 2:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc52a4948190a7397c83912f3b15 completed April 5, 2026, 8:55 p.m.
NEDg Description generation batch_69d2cd901c148190afb27759cc176f89 completed April 5, 2026, 9:01 p.m.
NED2 Entity disambiguation (via description) batch_69d2ce6da82081908ca6b3621971ca9a completed April 5, 2026, 9:04 p.m.
Created at: March 30, 2026, 9:05 p.m.