Triple

T15006349
Position Surface form Disambiguated ID Type / Status
Subject CLERP 9 reforms E377721 entity
Predicate alsoKnownAs P39 FINISHED
Object CLERP 9
CLERP 9 is an Australian corporate law reform package introduced in the early 2000s to strengthen corporate governance, financial reporting, and auditor independence following major corporate collapses.
E1131909 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: CLERP 9 | Statement: [CLERP 9 reforms, alsoKnownAs, CLERP 9]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CLERP 9
Context triple: [CLERP 9 reforms, alsoKnownAs, CLERP 9]
  • A. CLRAE
    CLRAE is the acronym for the Congress of Local and Regional Authorities, a Council of Europe institution representing local and regional governments across member states.
  • B. CLRI
    CLRI (Central Leather Research Institute) is a premier Indian research organization specializing in leather science and technology, located in Adyar, Chennai.
  • C. CLP
    CLP is the vehicle registration code used on license plates for the Cloppenburg district in Lower Saxony, Germany.
  • D. CLP
    CLP is the three-letter ISO 4217 currency code for the Chilean peso, the official monetary unit of Chile.
  • E. CLP
    CLP is the vehicle registration code used on license plates for vehicles registered in the Saterland region of Germany.
  • 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: CLERP 9
Triple: [CLERP 9 reforms, alsoKnownAs, CLERP 9]
Generated description
CLERP 9 is an Australian corporate law reform package introduced in the early 2000s to strengthen corporate governance, financial reporting, and auditor independence following major corporate collapses.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CLERP 9
Target entity description: CLERP 9 is an Australian corporate law reform package introduced in the early 2000s to strengthen corporate governance, financial reporting, and auditor independence following major corporate collapses.
  • A. CLRAE
    CLRAE is the acronym for the Congress of Local and Regional Authorities, a Council of Europe institution representing local and regional governments across member states.
  • B. CLRI
    CLRI (Central Leather Research Institute) is a premier Indian research organization specializing in leather science and technology, located in Adyar, Chennai.
  • C. CLP
    CLP is the vehicle registration code used on license plates for the Cloppenburg district in Lower Saxony, Germany.
  • D. CLP
    CLP is the three-letter ISO 4217 currency code for the Chilean peso, the official monetary unit of Chile.
  • E. CLP
    CLP is the vehicle registration code used on license plates for vehicles registered in the Saterland region of Germany.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7322b5c81909089cbbf816e1436 completed April 15, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe96a35acc8190a85f2ce32800ce1b completed May 9, 2026, 2:06 a.m.
NEDg Description generation batch_69fe98917abc81908998205b4ecf201f completed May 9, 2026, 2:14 a.m.
NED2 Entity disambiguation (via description) batch_69fe997c744481909bd3c66c3dd68f19 completed May 9, 2026, 2:18 a.m.
Created at: April 10, 2026, 2:54 a.m.