Triple

T25271500
Position Surface form Disambiguated ID Type / Status
Subject Pythonoidea E633579 entity
Predicate includesFamousSpecies P10920 FINISHED
Object reticulated python
The reticulated python is one of the world’s longest snake species, a large nonvenomous constrictor native to Southeast Asia known for its intricate net-like pattern.
 E1670049 NE FINISHED

How this triple was built (3 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: reticulated python | Statement: [Pythonoidea, includesFamousSpecies, reticulated python]
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: reticulated python
Triple: [Pythonoidea, includesFamousSpecies, reticulated python]
Generated description
The reticulated python is one of the world’s longest snake species, a large nonvenomous constrictor native to Southeast Asia known for its intricate net-like pattern.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: includesFamousSpecies
Context triple: [Pythonoidea, includesFamousSpecies, reticulated python]
  • A. includesSpecies chosen
    Indicates that one entity contains or encompasses one or more species as part of its composition or scope.
  • B. includesSpeciesFrom
    Indicates that one collection, group, or set contains one or more species that originate from or belong to another specified source or context.
  • C. hasLargeSpecies
    Indicates that an entity possesses or includes at least one species that is considered large in size.
  • D. hasExhibitSpecies
    Indicates that an exhibit or display includes or features a particular species.
  • E. containsWildSpecies
    Indicates that one entity includes, houses, or encompasses wild (non-domesticated) species within its scope or boundaries.
  • F. None of above.

Provenance (6 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_69e75a92f48881909974ff9c11150a2e completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f6db1f3ec48190a82e7d893d3c76ba completed May 3, 2026, 5:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1067fa237481909e9ab54f9597c8b9 completed May 22, 2026, 2:28 p.m.
NEDg Description generation batch_6a1068aea8c88190b74dfa3f7386f860 completed May 22, 2026, 2:31 p.m.
NED2 Entity disambiguation (via description) batch_6a10694a8b4c81909a08075cbc76c9a9 completed May 22, 2026, 2:33 p.m.
PD Predicate disambiguation batch_69f6d82adfa481908a5e196d2e18c73f completed May 3, 2026, 5:07 a.m.
Created at: April 21, 2026, 1:16 p.m.