Triple

T8352285
Position Surface form Disambiguated ID Type / Status
Subject Domjur E196589 entity
Predicate hasNearbyLocality P3883 FINISHED
Object Amta
Amta is a town in the Howrah district of West Bengal, India, known as a suburban locality within the Kolkata metropolitan region.
E727500 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: Amta | Statement: [Domjur, hasNearbyLocality, Amta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amta
Context triple: [Domjur, hasNearbyLocality, Amta]
  • A. Arnalta
    Arnalta is a comic nurse character in Claudio Monteverdi’s opera "L'incoronazione di Poppea," known for her earthy wisdom and humorous commentary.
  • B. Amada
    Amada is an ancient Egyptian temple site in Lower Nubia, renowned for its well-preserved reliefs and inscriptions dating back to the 18th Dynasty.
  • C. Calbe
    Calbe is a small town in the German state of Saxony-Anhalt, known for its location on the Saale River and its historic town center.
  • D. Arganil
    Arganil is a municipality and town in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
  • E. Khorixas
    Khorixas is a small town in northwestern Namibia that serves as an administrative and commercial center for the surrounding Kunene Region.
  • 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: Amta
Triple: [Domjur, hasNearbyLocality, Amta]
Generated description
Amta is a town in the Howrah district of West Bengal, India, known as a suburban locality within the Kolkata metropolitan region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Amta
Target entity description: Amta is a town in the Howrah district of West Bengal, India, known as a suburban locality within the Kolkata metropolitan region.
  • A. Arnalta
    Arnalta is a comic nurse character in Claudio Monteverdi’s opera "L'incoronazione di Poppea," known for her earthy wisdom and humorous commentary.
  • B. Amada
    Amada is an ancient Egyptian temple site in Lower Nubia, renowned for its well-preserved reliefs and inscriptions dating back to the 18th Dynasty.
  • C. Calbe
    Calbe is a small town in the German state of Saxony-Anhalt, known for its location on the Saale River and its historic town center.
  • D. Arganil
    Arganil is a municipality and town in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
  • E. Khorixas
    Khorixas is a small town in northwestern Namibia that serves as an administrative and commercial center for the surrounding Kunene Region.
  • 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_69ca82f08b348190bfb7881944bbff6f completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80460f048190aa298ddffde1047d completed March 31, 2026, 8:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc75623488190be3303f5e75784e8 completed April 2, 2026, 1:33 a.m.
NEDg Description generation batch_69cdcc86626c8190a4206feedea24b41 completed April 2, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_69cdcde02e088190be8220f7d18d6700 completed April 2, 2026, 2:01 a.m.
Created at: March 30, 2026, 5:59 p.m.