Triple

T247284
Position Surface form Disambiguated ID Type / Status
Subject Thar Desert E5064 entity
Predicate hasWildlife P965 FINISHED
Object Indian gazelle
The Indian gazelle, also known as the chinkara, is a small, slender antelope native to arid and semi-arid regions of the Indian subcontinent.
 E31789 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: Indian gazelle | Statement: [Thar Desert, hasWildlife, Indian gazelle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Indian gazelle
Context triple: [Thar Desert, hasWildlife, Indian gazelle]
  • A. Ovis
    Ovis is a genus of hoofed mammals that includes domestic sheep and several wild sheep species found across Eurasia, North Africa, and North America.
  • B. mule deer
    The mule deer is a North American deer species known for its large, mule-like ears and adaptability to a wide range of habitats, from mountains and forests to deserts.
  • C. Bison
    Bison is the official mascot of Howard University, symbolizing the institution’s strength, resilience, and historic legacy.
  • D. Mouton
    Mouton is an academic publishing house known for its influential works in linguistics and related fields.
  • E. Lynx
    Lynx is a high-speed serial computer bus interface standard, better known as IEEE 1394 or FireWire, used for real-time data transfer between digital devices.
  • 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: Indian gazelle
Triple: [Thar Desert, hasWildlife, Indian gazelle]
Generated description
The Indian gazelle, also known as the chinkara, is a small, slender antelope native to arid and semi-arid regions of the Indian subcontinent.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Indian gazelle
Target entity description: The Indian gazelle, also known as the chinkara, is a small, slender antelope native to arid and semi-arid regions of the Indian subcontinent.
  • A. Ovis
    Ovis is a genus of hoofed mammals that includes domestic sheep and several wild sheep species found across Eurasia, North Africa, and North America.
  • B. mule deer
    The mule deer is a North American deer species known for its large, mule-like ears and adaptability to a wide range of habitats, from mountains and forests to deserts.
  • C. Bison
    Bison is the official mascot of Howard University, symbolizing the institution’s strength, resilience, and historic legacy.
  • D. Mouton
    Mouton is an academic publishing house known for its influential works in linguistics and related fields.
  • E. Lynx
    Lynx is a high-speed serial computer bus interface standard, better known as IEEE 1394 or FireWire, used for real-time data transfer between digital devices.
  • 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_69a257c4bf688190a46ebbf411ab7473 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25d13b8088190a3f48f0388d57496 completed Feb. 28, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69a36cf64798819096218d320b00a3a9 completed Feb. 28, 2026, 10:32 p.m.
NEDg Description generation batch_69a36d713d548190afadbc7ec7509d98 completed Feb. 28, 2026, 10:34 p.m.
NED2 Entity disambiguation (via description) batch_69a36e072f188190a0961926536659c1 completed Feb. 28, 2026, 10:36 p.m.
Created at: Feb. 28, 2026, 2:54 a.m.