Triple

T2083457
Position Surface form Disambiguated ID Type / Status
Subject Shillong E45294 entity
Predicate airportLocatedAt P2903 FINISHED
Object Umroi
Umroi is a town in the Indian state of Meghalaya known for serving as the location of Shillong’s main airport.
 E232297 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: Umroi | Statement: [Shillong, airportLocatedAt, Umroi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Umroi
Context triple: [Shillong, airportLocatedAt, Umroi]
  • A. Urambo
    Urambo is a town and district headquarters in western Tanzania known historically for tobacco production and its location within the Tabora Region.
  • B. Murambi
    Murambi is a residential suburb of Mutare, a major city in eastern Zimbabwe.
  • C. Ngamo
    Ngamo is a West Chadic language spoken primarily in northeastern Nigeria by the Ngamo people.
  • D. Liluah
    Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
  • E. Ummanz
    Ummanz is a small German Baltic Sea island located just off the western coast of Rügen, known for its rural landscape and bird-rich wetlands.
  • 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: Umroi
Triple: [Shillong, airportLocatedAt, Umroi]
Generated description
Umroi is a town in the Indian state of Meghalaya known for serving as the location of Shillong’s main airport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Umroi
Target entity description: Umroi is a town in the Indian state of Meghalaya known for serving as the location of Shillong’s main airport.
  • A. Urambo
    Urambo is a town and district headquarters in western Tanzania known historically for tobacco production and its location within the Tabora Region.
  • B. Murambi
    Murambi is a residential suburb of Mutare, a major city in eastern Zimbabwe.
  • C. Ngamo
    Ngamo is a West Chadic language spoken primarily in northeastern Nigeria by the Ngamo people.
  • D. Liluah
    Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
  • E. Ummanz
    Ummanz is a small German Baltic Sea island located just off the western coast of Rügen, known for its rural landscape and bird-rich wetlands.
  • 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_69a8891869c88190a02643e3bb746f59 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba524b60819089a11957ce6dbc4b completed March 7, 2026, 5:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae273d3f5881909fa6d935fa85c225 completed March 9, 2026, 1:49 a.m.
NEDg Description generation batch_69ae2a5767388190b16c0d2ce3af647c completed March 9, 2026, 2:03 a.m.
NED2 Entity disambiguation (via description) batch_69ae2b5ff1b88190a9754f0e892b6607 completed March 9, 2026, 2:07 a.m.
Created at: March 4, 2026, 7:41 p.m.