Triple

T11321557
Position Surface form Disambiguated ID Type / Status
Subject Raigad district E268104 entity
Predicate contains P35 FINISHED
Object Mhasla
Mhasla is a town in Maharashtra, India, known as a local administrative and commercial center within the coastal Konkan region.
E919079 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: Mhasla | Statement: [Raigad district, contains, Mhasla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mhasla
Context triple: [Raigad district, contains, Mhasla]
  • A. Mlahsô
    Mlahsô is an endangered Neo-Aramaic language historically spoken by Assyrian/Syriac communities in parts of southeastern Turkey and northeastern Syria.
  • B. Dasma
    Dasma is a residential district in Kuwait City, located within the Al Asimah Governorate.
  • C. Dasma
    Dasma is a common nickname for Dasmariñas, a highly urbanized city in the province of Cavite in the Philippines.
  • D. Mansaka
    Mansaka is an Austronesian language spoken by the indigenous Mansaka people of southeastern Mindanao in the Philippines.
  • E. Mala
    Mala is a musical track featured on the album ENOC by the Puerto Rican singer Ozuna.
  • 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: Mhasla
Triple: [Raigad district, contains, Mhasla]
Generated description
Mhasla is a town in Maharashtra, India, known as a local administrative and commercial center within the coastal Konkan region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mhasla
Target entity description: Mhasla is a town in Maharashtra, India, known as a local administrative and commercial center within the coastal Konkan region.
  • A. Mlahsô
    Mlahsô is an endangered Neo-Aramaic language historically spoken by Assyrian/Syriac communities in parts of southeastern Turkey and northeastern Syria.
  • B. Dasma
    Dasma is a residential district in Kuwait City, located within the Al Asimah Governorate.
  • C. Dasma
    Dasma is a common nickname for Dasmariñas, a highly urbanized city in the province of Cavite in the Philippines.
  • D. Mansaka
    Mansaka is an Austronesian language spoken by the indigenous Mansaka people of southeastern Mindanao in the Philippines.
  • E. Mala
    Mala is a coastal town in Peru’s Lima Region known for its agricultural production and beaches along the Pacific Ocean.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9dff37081909622623e66e17ccd completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e525ed950081908ec94cfbf8849e85 completed April 19, 2026, 6:58 p.m.
NEDg Description generation batch_69e52c82b6108190aec9b6e9d726f803 completed April 19, 2026, 7:26 p.m.
NED2 Entity disambiguation (via description) batch_69e531b079708190ac9e19127d36a848 completed April 19, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:32 p.m.