Triple

T5217714
Position Surface form Disambiguated ID Type / Status
Subject Bhaga River E117793 entity
Predicate confluenceLocation P3421 FINISHED
Object Tandi
Tandi is a small town in Himachal Pradesh, India, known as a key junction in the Lahaul region where major mountain rivers meet and as a common stopover for travelers in the Himalayas.
 E502749 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: Tandi | Statement: [Bhaga River, confluenceLocation, Tandi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tandi
Context triple: [Bhaga River, confluenceLocation, Tandi]
  • A. Tantamani
    Tantamani was a Kushite king of the 25th Dynasty of Egypt, known for his brief attempt to restore Nubian control over Egypt before being driven back by the Assyrians.
  • B. Tanunda
    Tanunda is a prominent town in South Australia's Barossa Valley wine region, known for its rich German heritage and surrounding vineyards.
  • C. Tangale
    Tangale is a West Chadic language spoken primarily in Gombe State, northeastern Nigeria, by the Tangale people.
  • D. Xola
    Xola is a Mexico City Metro station on Line 2 that serves the southern part of the city near the Calzada de Tlalpan corridor.
  • E. Lanseria
    Lanseria is a town in the northwestern part of Johannesburg, South Africa, known primarily for hosting the privately owned Lanseria International Airport.
  • 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: Tandi
Triple: [Bhaga River, confluenceLocation, Tandi]
Generated description
Tandi is a small town in Himachal Pradesh, India, known as a key junction in the Lahaul region where major mountain rivers meet and as a common stopover for travelers in the Himalayas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tandi
Target entity description: Tandi is a small town in Himachal Pradesh, India, known as a key junction in the Lahaul region where major mountain rivers meet and as a common stopover for travelers in the Himalayas.
  • A. Tantamani
    Tantamani was a Kushite king of the 25th Dynasty of Egypt, known for his brief attempt to restore Nubian control over Egypt before being driven back by the Assyrians.
  • B. Tanunda
    Tanunda is a prominent town in South Australia's Barossa Valley wine region, known for its rich German heritage and surrounding vineyards.
  • C. Tangale
    Tangale is a West Chadic language spoken primarily in Gombe State, northeastern Nigeria, by the Tangale people.
  • D. Xola
    Xola is a Mexico City Metro station on Line 2 that serves the southern part of the city near the Calzada de Tlalpan corridor.
  • E. Lanseria
    Lanseria is a town in the northwestern part of Johannesburg, South Africa, known primarily for hosting the privately owned Lanseria International Airport.
  • 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_69bd4465e03081909bfcfd7113062590 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a95abdc8190b0babd79cea1360e completed March 20, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69beefebe3b081909f3fe50cf3d73653 completed March 21, 2026, 7:22 p.m.
NEDg Description generation batch_69bef0bfd76c8190ab48fed23b21c70b completed March 21, 2026, 7:25 p.m.
NED2 Entity disambiguation (via description) batch_69bef168c2088190bba7fce5219b0d1f completed March 21, 2026, 7:28 p.m.
Created at: March 20, 2026, 1:48 p.m.