Triple

T10989016
Position Surface form Disambiguated ID Type / Status
Subject Molidae E259706 entity
Predicate typeGenus P5980 FINISHED
Object Mola
Mola is a genus of large ocean sunfishes known for their distinctive flattened bodies and immense size, including the common ocean sunfish Mola mola.
 E898384 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: Mola | Statement: [Molidae, typeGenus, Mola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mola
Context triple: [Molidae, typeGenus, Mola]
  • A. Mola
    Mola is a Spanish surname most notably associated with Emilio Mola, a key Nationalist general during the Spanish Civil War.
  • B. Manta
    Manta is a major coastal city and important seaport in western Ecuador, known for its fishing industry, beaches, and commercial activity.
  • C. Manta
    Manta is a flying roller coaster at SeaWorld Orlando that simulates the graceful, gliding motion of a manta ray through a combination of high-speed thrills and aquatic theming.
  • D. Manta
    Manta is a distributed object storage and compute service designed for running parallel computations directly on stored data in the cloud.
  • E. Manta
    Manta is a municipality located in Almeidas Province in the Cundinamarca Department of central Colombia.
  • 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: Mola
Triple: [Molidae, typeGenus, Mola]
Generated description
Mola is a genus of large ocean sunfishes known for their distinctive flattened bodies and immense size, including the common ocean sunfish Mola mola.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mola
Target entity description: Mola is a genus of large ocean sunfishes known for their distinctive flattened bodies and immense size, including the common ocean sunfish Mola mola.
  • A. Mola
    Mola is a Spanish surname most notably associated with Emilio Mola, a key Nationalist general during the Spanish Civil War.
  • B. Manta
    Manta is a major coastal city and important seaport in western Ecuador, known for its fishing industry, beaches, and commercial activity.
  • C. Manta
    Manta is a flying roller coaster at SeaWorld Orlando that simulates the graceful, gliding motion of a manta ray through a combination of high-speed thrills and aquatic theming.
  • D. Manta
    Manta is a distributed object storage and compute service designed for running parallel computations directly on stored data in the cloud.
  • E. Manta
    Manta is a municipality located in Almeidas Province in the Cundinamarca Department of central Colombia.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d787b6d0b48190aaf959e2609d34e5 completed April 9, 2026, 11:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69e344f95ab88190bbce8f0eab0b2713 completed April 18, 2026, 8:46 a.m.
NEDg Description generation batch_69e3556e8b408190a02a1fe194ae5750 completed April 18, 2026, 9:57 a.m.
NED2 Entity disambiguation (via description) batch_69e3593b0f8481909ed7a90f8bb9839d completed April 18, 2026, 10:13 a.m.
Created at: April 8, 2026, 9:24 p.m.