Triple

T21820373
Position Surface form Disambiguated ID Type / Status
Subject Machhu Dam E538708 entity
Predicate associatedDisaster P15089 FINISHED
Object 1979 Morbi flood NE NERFINISHED

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: 1979 Morbi flood | Statement: [Machhu Dam, associatedDisaster, 1979 Morbi flood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 1979 Morbi flood
Context triple: [Machhu Dam, associatedDisaster, 1979 Morbi flood]
  • A. 2013 North India floods
    The 2013 North India floods were a devastating series of cloudburst-triggered flash floods and landslides, particularly in Uttarakhand, that caused massive loss of life, widespread destruction, and one of the largest rescue operations in India’s history.
  • B. 2008 Kosi flood
    The 2008 Kosi flood was a catastrophic river flood in northern India and Nepal that displaced millions of people and caused widespread destruction when the Kosi River dramatically changed its course.
  • C. Great Flood of 1879
    The Great Flood of 1879 was a catastrophic inundation of the city of Szeged in Hungary that destroyed most of the town and prompted a major reconstruction.
  • D. 1908 Musi River floods
    The 1908 Musi River floods were a catastrophic deluge in Hyderabad, India, that caused massive loss of life and property and spurred major urban and flood-control reforms.
  • E. Karachi monsoon floods
    The Karachi monsoon floods are recurring seasonal inundations in Pakistan’s largest city, caused by intense monsoon rains that overwhelm drainage systems and river channels, leading to widespread urban flooding and damage.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 1979 Morbi flood
Target entity description: The 1979 Morbi flood was a catastrophic dam failure disaster in Gujarat, India, in which the collapse of the Machhu Dam unleashed massive flooding that killed thousands and devastated the town of Morbi.
  • A. 2013 North India floods
    The 2013 North India floods were a devastating series of cloudburst-triggered flash floods and landslides, particularly in Uttarakhand, that caused massive loss of life, widespread destruction, and one of the largest rescue operations in India’s history.
  • B. 2008 Kosi flood
    The 2008 Kosi flood was a catastrophic river flood in northern India and Nepal that displaced millions of people and caused widespread destruction when the Kosi River dramatically changed its course.
  • C. Great Flood of 1879
    The Great Flood of 1879 was a catastrophic inundation of the city of Szeged in Hungary that destroyed most of the town and prompted a major reconstruction.
  • D. 1908 Musi River floods
    The 1908 Musi River floods were a catastrophic deluge in Hyderabad, India, that caused massive loss of life and property and spurred major urban and flood-control reforms.
  • E. Karachi monsoon floods
    The Karachi monsoon floods are recurring seasonal inundations in Pakistan’s largest city, caused by intense monsoon rains that overwhelm drainage systems and river channels, leading to widespread urban flooding and damage.
  • F. None of above. chosen

Provenance (2 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_69e0c475038c8190abb9b1a20eb8ff50 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0912d414c81909c109c3e45b6e7d2 completed April 28, 2026, 10:51 a.m.
Created at: April 16, 2026, 6:54 p.m.