Triple

T530572
Position Surface form Disambiguated ID Type / Status
Subject Tatra National Park E12212 entity
Predicate fauna P950 FINISHED
Object Tatra chamois
The Tatra chamois is a rare, endemic subspecies of chamois adapted to the rugged alpine environment of the Tatra Mountains in Central Europe.
 E66094 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: Tatra chamois | Statement: [Tatra National Park, fauna, Tatra chamois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tatra chamois
Context triple: [Tatra National Park, fauna, Tatra chamois]
  • A. Mouton
    Mouton is an academic publishing house known for its influential works in linguistics and related fields.
  • B. Marmotini
    Marmotini is a tribe of ground-dwelling squirrels that includes marmots, prairie dogs, and related genera found across the Northern Hemisphere.
  • C. walia ibex
    The walia ibex is a critically endangered wild goat species native to the steep cliffs and escarpments of Ethiopia’s high mountains.
  • D. Mossenberg-Wöhren
    Mossenberg-Wöhren is a small village in North Rhine-Westphalia, Germany, known primarily as the birthplace of former German chancellor Gerhard Schröder.
  • E. Pekela
    Pekela is a municipality in the province of Groningen in the northeastern Netherlands, known for its rural character and historical peat colonies.
  • 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: Tatra chamois
Triple: [Tatra National Park, fauna, Tatra chamois]
Generated description
The Tatra chamois is a rare, endemic subspecies of chamois adapted to the rugged alpine environment of the Tatra Mountains in Central Europe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tatra chamois
Target entity description: The Tatra chamois is a rare, endemic subspecies of chamois adapted to the rugged alpine environment of the Tatra Mountains in Central Europe.
  • A. Mouton
    Mouton is an academic publishing house known for its influential works in linguistics and related fields.
  • B. Marmotini
    Marmotini is a tribe of ground-dwelling squirrels that includes marmots, prairie dogs, and related genera found across the Northern Hemisphere.
  • C. walia ibex
    The walia ibex is a critically endangered wild goat species native to the steep cliffs and escarpments of Ethiopia’s high mountains.
  • D. Mossenberg-Wöhren
    Mossenberg-Wöhren is a small village in North Rhine-Westphalia, Germany, known primarily as the birthplace of former German chancellor Gerhard Schröder.
  • E. Pekela
    Pekela is a municipality in the province of Groningen in the northeastern Netherlands, known for its rural character and historical peat colonies.
  • 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_69a4933208e88190891f5debab1b776d completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a494dda58c8190870305056838a2b2 completed March 1, 2026, 7:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4b5dabbe88190acf66bd30bc6312d completed March 1, 2026, 9:55 p.m.
NEDg Description generation batch_69a4b64487bc8190b879ddedc1585a04 completed March 1, 2026, 9:57 p.m.
NED2 Entity disambiguation (via description) batch_69a4b6ca3398819094bfbac0ba7a9c66 completed March 1, 2026, 9:59 p.m.
Created at: March 1, 2026, 7:32 p.m.