Triple

T20158679
Position Surface form Disambiguated ID Type / Status
Subject Zoodram series E491644 entity
Predicate hasPart P35 FINISHED
Object Zoodram 15
Zoodram 15 is a specific module within the Zoodram series of oceanographic research platforms used for deep-sea observation and experimentation.
 E1435520 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: Zoodram 15 | Statement: [Zoodram series, hasPart, Zoodram 15]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zoodram 15
Context triple: [Zoodram series, hasPart, Zoodram 15]
  • A. Zoodram 10
    Zoodram 10 is a specific aquarium tank in the Zoodram series, designed to house and display marine life in a controlled environment.
  • B. Zoodram 12
    Zoodram 12 is a specific aquarium system model within the Zoodram series, designed for housing and displaying aquatic life.
  • C. Zoodram 14
    Zoodram 14 is a specific aquarium tank within the Zoodram series, known for housing the octopus featured in the “Paul the Octopus” experiments.
  • D. Zoodram 11
    Zoodram 11 is a specific module or unit within the Zoodram series, likely representing one iteration or component in a sequence of related systems or devices.
  • E. Zoodram 13
    Zoodram 13 is a specific aquarium tank within the Zoodram series, known for housing a distinct marine ecosystem used in long-term ecological and biological research.
  • 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: Zoodram 15
Triple: [Zoodram series, hasPart, Zoodram 15]
Generated description
Zoodram 15 is a specific module within the Zoodram series of oceanographic research platforms used for deep-sea observation and experimentation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zoodram 15
Target entity description: Zoodram 15 is a specific module within the Zoodram series of oceanographic research platforms used for deep-sea observation and experimentation.
  • A. Zoodram 10
    Zoodram 10 is a specific aquarium tank in the Zoodram series, designed to house and display marine life in a controlled environment.
  • B. Zoodram 12
    Zoodram 12 is a specific aquarium system model within the Zoodram series, designed for housing and displaying aquatic life.
  • C. Zoodram 14
    Zoodram 14 is a specific aquarium tank within the Zoodram series, known for housing the octopus featured in the “Paul the Octopus” experiments.
  • D. Zoodram 11
    Zoodram 11 is a specific module or unit within the Zoodram series, likely representing one iteration or component in a sequence of related systems or devices.
  • E. Zoodram 13
    Zoodram 13 is a specific aquarium tank within the Zoodram series, known for housing a distinct marine ecosystem used in long-term ecological and biological research.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667e27aa88190a326288b992ea274 completed April 20, 2026, 5:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a089d2103a481908c581faea7555df6 completed May 16, 2026, 4:36 p.m.
NEDg Description generation batch_6a089db22fcc819094d595a3ce4e19a6 completed May 16, 2026, 4:39 p.m.
NED2 Entity disambiguation (via description) batch_6a089e4c21d88190a6c1ddf8e0879cb1 completed May 16, 2026, 4:41 p.m.
Created at: April 11, 2026, 11:34 p.m.