Triple

T15286953
Position Surface form Disambiguated ID Type / Status
Subject Kullu–Manali Airport E365425 entity
Predicate locatedIn P40 FINISHED
Object Bhuntar
Bhuntar is a small town in Himachal Pradesh, India, known as a gateway to the Kullu and Manali regions and an important transit point in the Kullu Valley.
E1148897 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: Bhuntar | Statement: [Kullu–Manali Airport, locatedIn, Bhuntar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bhuntar
Context triple: [Kullu–Manali Airport, locatedIn, Bhuntar]
  • A. Follebu
    Follebu is a village in Innlandet county, Norway, known for its rural setting and traditional Norwegian countryside character within Gausdal municipality.
  • B. Lohra
    Lohra is a small municipality in the Marburg-Biedenkopf district of the German state of Hesse.
  • C. Turgi
    Turgi is a small Swiss municipality in the canton of Aargau, known for its residential character and proximity to the town of Baden.
  • D. Dverberg
    Dverberg is a small village and former municipal center located on the island of Andøya in Nordland county, Norway.
  • E. Reisaelva
    Reisaelva is a major river in Troms county in northern Norway, known for flowing through the scenic Reisa National Park and its deep canyon landscapes.
  • 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: Bhuntar
Triple: [Kullu–Manali Airport, locatedIn, Bhuntar]
Generated description
Bhuntar is a small town in Himachal Pradesh, India, known as a gateway to the Kullu and Manali regions and an important transit point in the Kullu Valley.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bhuntar
Target entity description: Bhuntar is a small town in Himachal Pradesh, India, known as a gateway to the Kullu and Manali regions and an important transit point in the Kullu Valley.
  • A. Follebu
    Follebu is a village in Innlandet county, Norway, known for its rural setting and traditional Norwegian countryside character within Gausdal municipality.
  • B. Lohra
    Lohra is a small municipality in the Marburg-Biedenkopf district of the German state of Hesse.
  • C. Turgi
    Turgi is a small Swiss municipality in the canton of Aargau, known for its residential character and proximity to the town of Baden.
  • D. Dverberg
    Dverberg is a small village and former municipal center located on the island of Andøya in Nordland county, Norway.
  • E. Reisaelva
    Reisaelva is a major river in Troms county in northern Norway, known for flowing through the scenic Reisa National Park and its deep canyon landscapes.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00e551bb0819094db097285443740 completed April 15, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef7b73a08190b06856c05ea8c80d completed May 9, 2026, 8:25 a.m.
NEDg Description generation batch_69fef38868548190877cf25a38bb805a completed May 9, 2026, 8:42 a.m.
NED2 Entity disambiguation (via description) batch_69fef435b1208190bd839297a2f8d3f4 completed May 9, 2026, 8:45 a.m.
Created at: April 10, 2026, 3:15 a.m.