Triple

T14477038
Position Surface form Disambiguated ID Type / Status
Subject Quad E358999 entity
Predicate alsoKnownAs P39 FINISHED
Object Quadrat
Quadrat is a square or rectangular plot used in ecological and environmental studies to sample and analyze the distribution of organisms or vegetation within a defined area.
 E1101776 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: Quadrat | Statement: [Quad, alsoKnownAs, Quadrat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Quadrat
Context triple: [Quad, alsoKnownAs, Quadrat]
  • A. Quarndon
    Quarndon is a small village and civil parish in Derbyshire, England, situated just north of the city of Derby.
  • B. Quarré
    Quarré is a fine-dining restaurant located in the luxury Hotel Adlon Kempinski in Berlin, known for its upscale cuisine and elegant setting.
  • C. Quaggy
    Quaggy is a small urban river in southeast London that flows through the London Borough of Lewisham before joining the River Ravensbourne.
  • D. Kwinti
    Kwinti are a Maroon Afro-Surinamese community in Suriname, known for their distinct culture, history of resistance to slavery, and unique linguistic and religious traditions.
  • E. Quarry
    Quarry is a neo-noir television drama series starring Logan Marshall-Green as a Marine sniper struggling to readjust to civilian life in 1970s America while being drawn into a criminal underworld.
  • 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: Quadrat
Triple: [Quad, alsoKnownAs, Quadrat]
Generated description
Quadrat is a square or rectangular plot used in ecological and environmental studies to sample and analyze the distribution of organisms or vegetation within a defined area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Quadrat
Target entity description: Quadrat is a square or rectangular plot used in ecological and environmental studies to sample and analyze the distribution of organisms or vegetation within a defined area.
  • A. Quarndon
    Quarndon is a small village and civil parish in Derbyshire, England, situated just north of the city of Derby.
  • B. Quarré
    Quarré is a fine-dining restaurant located in the luxury Hotel Adlon Kempinski in Berlin, known for its upscale cuisine and elegant setting.
  • C. Quaggy
    Quaggy is a small urban river in southeast London that flows through the London Borough of Lewisham before joining the River Ravensbourne.
  • D. Kwinti
    Kwinti are a Maroon Afro-Surinamese community in Suriname, known for their distinct culture, history of resistance to slavery, and unique linguistic and religious traditions.
  • E. Quarry
    Quarry is a neo-noir television drama series starring Logan Marshall-Green as a Marine sniper struggling to readjust to civilian life in 1970s America while being drawn into a criminal underworld.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9248edb48190a74eb032aeaac027 completed April 14, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd64a0553081909fd88d8f39ed1a01 completed May 8, 2026, 4:20 a.m.
NEDg Description generation batch_69fd698579588190a49f6c7a91266117 completed May 8, 2026, 4:41 a.m.
NED2 Entity disambiguation (via description) batch_69fd6a6060488190ab5662037b52c591 completed May 8, 2026, 4:45 a.m.
Created at: April 10, 2026, 1:20 a.m.