Triple

T11057954
Position Surface form Disambiguated ID Type / Status
Subject Scale tissue clearing method E261426 entity
Predicate comparedWith P278 FINISHED
Object CUBIC
CUBIC is a chemical tissue-clearing technique that renders biological samples transparent for high-resolution, three-dimensional imaging.
 E902754 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: CUBIC | Statement: [Scale tissue clearing method, comparedWith, CUBIC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CUBIC
Context triple: [Scale tissue clearing method, comparedWith, CUBIC]
  • A. Cubik
    "Cubik" is a seminal 1990 techno track by British electronic music group 808 State, known for its distinctive synth riff and influence on the early rave scene.
  • B. CUB
    CUB is the three-letter ISO 3166-1 alpha-3 country code assigned to Cuba for international standardization and identification purposes.
  • C. CUB
    CUB is the stock ticker symbol for Cubic Corporation, a technology and services company known for its transportation and defense solutions.
  • D. CUB
    CUB is the ICAO airline designator assigned to Cubana de Aviación, the national flag carrier of Cuba.
  • E. GÉANT
    GÉANT is a pan-European research and education network organization that interconnects national research and education networks to support high-speed data communication and collaboration among universities and research institutions.
  • 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: CUBIC
Triple: [Scale tissue clearing method, comparedWith, CUBIC]
Generated description
CUBIC is a chemical tissue-clearing technique that renders biological samples transparent for high-resolution, three-dimensional imaging.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CUBIC
Target entity description: CUBIC is a chemical tissue-clearing technique that renders biological samples transparent for high-resolution, three-dimensional imaging.
  • A. Cubik
    "Cubik" is a seminal 1990 techno track by British electronic music group 808 State, known for its distinctive synth riff and influence on the early rave scene.
  • B. CUB
    CUB is the three-letter ISO 3166-1 alpha-3 country code assigned to Cuba for international standardization and identification purposes.
  • C. CUB
    CUB is the stock ticker symbol for Cubic Corporation, a technology and services company known for its transportation and defense solutions.
  • D. CUB
    CUB is the ICAO airline designator assigned to Cubana de Aviación, the national flag carrier of Cuba.
  • E. GÉANT
    GÉANT is a pan-European research and education network organization that interconnects national research and education networks to support high-speed data communication and collaboration among universities and research institutions.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798a2efa48190b290f43dfe836501 completed April 9, 2026, 12:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c86e0e6481908f091497313132c1 completed April 18, 2026, 6:07 p.m.
NEDg Description generation batch_69e3cefc00148190a1850dc6e31523c3 completed April 18, 2026, 6:35 p.m.
NED2 Entity disambiguation (via description) batch_69e3d014a644819092c76aa02b573ca9 completed April 18, 2026, 6:40 p.m.
Created at: April 8, 2026, 9:26 p.m.