Triple

T24272966
Position Surface form Disambiguated ID Type / Status
Subject Malbazar E605329 entity
Predicate hasNearbyTeaGarden P33602 FINISHED
Object Odlabari Tea Estate
Odlabari Tea Estate is a tea plantation and estate in the Dooars region of West Bengal, India, known for producing CTC tea and contributing to the area’s tea-based economy.
 E1629744 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: Odlabari Tea Estate | Statement: [Malbazar, hasNearbyTeaGarden, Odlabari Tea Estate]
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: Odlabari Tea Estate
Triple: [Malbazar, hasNearbyTeaGarden, Odlabari Tea Estate]
Generated description
Odlabari Tea Estate is a tea plantation and estate in the Dooars region of West Bengal, India, known for producing CTC tea and contributing to the area’s tea-based economy.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasNearbyTeaGarden
Context triple: [Malbazar, hasNearbyTeaGarden, Odlabari Tea Estate]
  • A. hasCafes
    Indicates that one entity possesses, contains, or includes one or more cafes within it.
  • B. hasNearbyBrewery
    Indicates that one entity is located close to or in the vicinity of a brewery.
  • C. hasOasisNearby
    Indicates that a location or area is situated close to an oasis.
  • D. hasNearbyGreenSpace chosen
    Indicates that an entity is located close to an area of green space, such as a park, garden, or natural vegetation.
  • E. hasTeeBoxes
    Indicates that a golf course or hole is equipped with one or more tee boxes from which players begin play.
  • 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_69e2954707dc8190915551eb114cfff6 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f28d5c8f588190866d5b5cb3f290fe completed April 29, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fc9c0b7ac8190b6dea6489a9c7754 completed May 22, 2026, 3:13 a.m.
NEDg Description generation batch_6a0fceee35e0819097ad7e8acb72cb67 completed May 22, 2026, 3:35 a.m.
NED2 Entity disambiguation (via description) batch_6a0fcf5ed4f88190a40668b7d4e8118e completed May 22, 2026, 3:37 a.m.
PD Predicate disambiguation batch_69f1c457a2908190993824395b3c365d completed April 29, 2026, 8:41 a.m.
Created at: April 18, 2026, 12:07 a.m.