Triple

T10827405
Position Surface form Disambiguated ID Type / Status
Subject web.py E255528 entity
Predicate notableUser P4829 FINISHED
Object Loomia
Loomia is an organization or project known for using the Python web framework web.py in its development work.
 E886845 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: Loomia | Statement: [web.py, notableUser, Loomia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Loomia
Context triple: [web.py, notableUser, Loomia]
  • A. Laiolo
    Laiolo is an alternate name for the Laiyolo language, an Austronesian language spoken in parts of Indonesia.
  • B. Lilliwaup
    Lilliwaup is a small unincorporated community in Mason County, Washington, known for its scenic location along Hood Canal and access to shellfishing and outdoor recreation.
  • C. Tynaarlo
    Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
  • D. Losuia
    Losuia is a village and key settlement on Kiriwina Island in Papua New Guinea, serving as the main hub for administration and transport in the Trobriand Islands.
  • E. Liluah
    Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
  • 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: Loomia
Triple: [web.py, notableUser, Loomia]
Generated description
Loomia is an organization or project known for using the Python web framework web.py in its development work.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Loomia
Target entity description: Loomia is an organization or project known for using the Python web framework web.py in its development work.
  • A. Laiolo
    Laiolo is an alternate name for the Laiyolo language, an Austronesian language spoken in parts of Indonesia.
  • B. Lilliwaup
    Lilliwaup is a small unincorporated community in Mason County, Washington, known for its scenic location along Hood Canal and access to shellfishing and outdoor recreation.
  • C. Tynaarlo
    Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
  • D. Losuia
    Losuia is a village and key settlement on Kiriwina Island in Papua New Guinea, serving as the main hub for administration and transport in the Trobriand Islands.
  • E. Liluah
    Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d734d2b9f88190b79a7b168d7836c8 completed April 9, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69de8592d8f08190ac577395ad7cc557 completed April 14, 2026, 6:21 p.m.
NEDg Description generation batch_69de8956d9f081909d076c5e413c1f74 completed April 14, 2026, 6:37 p.m.
NED2 Entity disambiguation (via description) batch_69de8e80fe80819088ac76bb5abc58f0 completed April 14, 2026, 6:59 p.m.
Created at: April 8, 2026, 9:19 p.m.