Triple

T9172165
Position Surface form Disambiguated ID Type / Status
Subject Eravikulam National Park E220105 entity
Predicate biosphereRegion P948 FINISHED
Object Western Ghats biodiversity hotspot E32408 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: Western Ghats biodiversity hotspot | Statement: [Eravikulam National Park, biosphereRegion, Western Ghats biodiversity hotspot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Western Ghats biodiversity hotspot
Context triple: [Eravikulam National Park, biosphereRegion, Western Ghats biodiversity hotspot]
  • A. Western Ghats chosen
    The Western Ghats is a mountain range running parallel to India’s western coast, renowned for its exceptional biodiversity, dense forests, and role as a major watershed for many of the subcontinent’s important rivers.
  • B. Greater Himalaya biodiversity hotspot
    The Greater Himalaya biodiversity hotspot is a globally significant conservation region spanning the high mountain ranges of the Himalayas, renowned for its exceptional species richness, high endemism, and diverse alpine and montane ecosystems.
  • C. Maputaland-Pondoland-Albany biodiversity hotspot
    The Maputaland-Pondoland-Albany biodiversity hotspot is a globally recognized conservation region in southeastern Africa known for its exceptionally high levels of plant and animal endemism and significant habitat loss.
  • D. Eastern Afromontane biodiversity hotspot
    The Eastern Afromontane biodiversity hotspot is a globally significant conservation region of isolated mountain ranges and highlands in eastern Africa, renowned for its exceptional levels of species richness and endemism.
  • E. Nilgiri Biosphere Reserve
    Nilgiri Biosphere Reserve is a UNESCO-designated protected area in the Western Ghats of southern India, renowned for its rich biodiversity, endemic species, and mosaic of montane forests, grasslands, and wildlife habitats.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: biosphereRegion
Context triple: [Eravikulam National Park, biosphereRegion, Western Ghats biodiversity hotspot]
  • A. hasBiosphere
    Indicates that an entity possesses or supports a biosphere, i.e., a region where living organisms and ecological processes exist.
  • B. ecoregion chosen
    Indicates that one entity is located within, associated with, or belongs to the same ecological region as another entity.
  • C. naturalRegionType
    Indicates the type or category of natural region to which a given area or place belongs.
  • D. ecozone
    Indicates that two entities stand in a biogeographical relationship where one is an ecological zone (ecozone) that characterizes or contains the other.
  • E. ecoregionsInclude
    Indicates that one ecoregion spatially contains or encompasses another ecoregion or area within its boundaries.
  • F. None of above.

Provenance (4 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_69ca83e467108190abcae6a33b3d4dad completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccbf9fe79c819082f335c2fdd1c7d3 completed April 1, 2026, 6:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0549d81d88190bea0995ad0016437 completed April 4, 2026, midnight
PD Predicate disambiguation batch_69cc660761d88190ab6134b43b376964 completed April 1, 2026, 12:25 a.m.
Created at: March 30, 2026, 7:22 p.m.