Triple

T2486767
Position Surface form Disambiguated ID Type / Status
Subject Indira Sagar Dam E55944 entity
Predicate locatedNearTown P3883 FINISHED
Object Punasa
Punasa is a town in Madhya Pradesh, India, known for its proximity to the major Indira Sagar Dam on the Narmada River.
 E271225 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: Punasa | Statement: [Indira Sagar Dam, locatedNearTown, Punasa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Punasa
Context triple: [Indira Sagar Dam, locatedNearTown, Punasa]
  • A. Punga
    Punga is a figure from Māori mythology, traditionally regarded as an ancestor of sharks, lizards, and other troublesome sea creatures.
  • B. Punakapina
    Punakapina is the Finnish Civil War of 1918, a conflict between the socialist Reds and conservative Whites that shaped Finland’s early independence.
  • C. Pénjamo
    Pénjamo is a historic town in the Mexican state of Guanajuato, best known as the birthplace of independence leader Miguel Hidalgo y Costilla.
  • D. Piumafua
    Piumafua is the highest peak on the island of Olosega in American Samoa, known for its steep volcanic terrain and lush tropical surroundings.
  • E. Sikaiana
    Sikaiana is a small, remote Polynesian atoll in the Solomon Islands whose people and culture are part of the Polynesian outlier communities in Melanesia.
  • 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: Punasa
Triple: [Indira Sagar Dam, locatedNearTown, Punasa]
Generated description
Punasa is a town in Madhya Pradesh, India, known for its proximity to the major Indira Sagar Dam on the Narmada River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Punasa
Target entity description: Punasa is a town in Madhya Pradesh, India, known for its proximity to the major Indira Sagar Dam on the Narmada River.
  • A. Punga
    Punga is a figure from Māori mythology, traditionally regarded as an ancestor of sharks, lizards, and other troublesome sea creatures.
  • B. Punakapina
    Punakapina is the Finnish Civil War of 1918, a conflict between the socialist Reds and conservative Whites that shaped Finland’s early independence.
  • C. Pénjamo
    Pénjamo is a historic town in the Mexican state of Guanajuato, best known as the birthplace of independence leader Miguel Hidalgo y Costilla.
  • D. Piumafua
    Piumafua is the highest peak on the island of Olosega in American Samoa, known for its steep volcanic terrain and lush tropical surroundings.
  • E. Sikaiana
    Sikaiana is a small, remote Polynesian atoll in the Solomon Islands whose people and culture are part of the Polynesian outlier communities in Melanesia.
  • 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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd1782ca081909645164a6acf0ea0 completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17ba433481908eccda5c6c6246be completed March 9, 2026, 6:55 p.m.
NEDg Description generation batch_69af1bbf545081908e1e51b5c7e4a196 completed March 9, 2026, 7:13 p.m.
NED2 Entity disambiguation (via description) batch_69af1c9c35648190bdeab34ce4032d26 completed March 9, 2026, 7:16 p.m.
Created at: March 6, 2026, 9:45 p.m.