Triple

T794017
Position Surface form Disambiguated ID Type / Status
Subject Holden Torana E16977 entity
Predicate generation P4860 FINISHED
Object LH
The LH is a mid-1970s generation of the Holden Torana, an Australian compact car series known for its performance-oriented variants and motorsport success.
 E93667 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: LH | Statement: [Holden Torana, generation, LH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LH
Context triple: [Holden Torana, generation, LH]
  • A. LCH
    LCH is a leading global clearing house that provides central counterparty clearing services for a wide range of financial markets and asset classes.
  • B. Lys
    The Lys is a river in northern France and western Belgium that flows through cities like Ghent and is known for its historical role in trade and the textile industry.
  • C. Le
    Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
  • D. LAL
    LAL is the standard NBA abbreviation for the Los Angeles Lakers basketball franchise.
  • E. LMT
    LMT is the stock ticker symbol for Lockheed Martin Corporation, a major American aerospace, defense, and security company.
  • 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: LH
Triple: [Holden Torana, generation, LH]
Generated description
The LH is a mid-1970s generation of the Holden Torana, an Australian compact car series known for its performance-oriented variants and motorsport success.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LH
Target entity description: The LH is a mid-1970s generation of the Holden Torana, an Australian compact car series known for its performance-oriented variants and motorsport success.
  • A. LCH
    LCH is a leading global clearing house that provides central counterparty clearing services for a wide range of financial markets and asset classes.
  • B. Lys
    The Lys is a river in northern France and western Belgium that flows through cities like Ghent and is known for its historical role in trade and the textile industry.
  • C. Le
    Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
  • D. LAL
    LAL is the standard NBA abbreviation for the Los Angeles Lakers basketball franchise.
  • E. LMT
    LMT is the stock ticker symbol for Lockheed Martin Corporation, a major American aerospace, defense, and security company.
  • 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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a79b976c819085cd381bbd597ca5 completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a678828f848190bbd511eb277db4ef completed March 3, 2026, 5:58 a.m.
NEDg Description generation batch_69a678f06b608190bb9dfe18289f8548 completed March 3, 2026, 6 a.m.
NED2 Entity disambiguation (via description) batch_69a6796abcd88190b7660d751704b18d completed March 3, 2026, 6:02 a.m.
Created at: March 1, 2026, 7:38 p.m.