Triple

T22304519
Position Surface form Disambiguated ID Type / Status
Subject Vishalgad Fort E551339 entity
Predicate nearestTown P350 FINISHED
Object Shahuwadi
Shahuwadi is a town in Maharashtra, India, known as the closest urban center to the historic hill fort of Vishalgad.
 E1530404 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: Shahuwadi | Statement: [Vishalgad Fort, nearestTown, Shahuwadi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shahuwadi
Context triple: [Vishalgad Fort, nearestTown, Shahuwadi]
  • A. Khudawadi
    Khudawadi is the Unicode block that encodes characters for the Khudabadi script historically used to write the Sindhi language.
  • B. Sorkhpooshan
    Sorkhpooshan is a popular nickname for Persepolis F.C., one of Iran’s most successful and widely supported football clubs.
  • C. Ardas
    Ardas is a central Sikh prayer of supplication and gratitude, recited in congregational and personal worship to seek divine guidance and blessings.
  • D. Darshan
    Darshan is a professional League of Legends player known for competing under the in-game name "Darshan."
  • E. Revakhanda
    Revakhanda is a section of the Skanda Purana that focuses on the legends, sacred geography, and religious significance associated with the Narmada River 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: Shahuwadi
Triple: [Vishalgad Fort, nearestTown, Shahuwadi]
Generated description
Shahuwadi is a town in Maharashtra, India, known as the closest urban center to the historic hill fort of Vishalgad.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shahuwadi
Target entity description: Shahuwadi is a town in Maharashtra, India, known as the closest urban center to the historic hill fort of Vishalgad.
  • A. Khudawadi
    Khudawadi is the Unicode block that encodes characters for the Khudabadi script historically used to write the Sindhi language.
  • B. Sorkhpooshan
    Sorkhpooshan is a popular nickname for Persepolis F.C., one of Iran’s most successful and widely supported football clubs.
  • C. Ardas
    Ardas is a central Sikh prayer of supplication and gratitude, recited in congregational and personal worship to seek divine guidance and blessings.
  • D. Darshan
    Darshan is a professional League of Legends player known for competing under the in-game name "Darshan."
  • E. Revakhanda
    Revakhanda is a section of the Skanda Purana that focuses on the legends, sacred geography, and religious significance associated with the Narmada River 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_69e11e46c0188190800181a4233f28fe completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15726b7e48190b7636db01dbb8a40 completed April 29, 2026, 12:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0acc9f16608190b6d1118238f96584 completed May 18, 2026, 8:23 a.m.
NEDg Description generation batch_6a0acec65ef48190a9961d2c03361258 completed May 18, 2026, 8:33 a.m.
NED2 Entity disambiguation (via description) batch_6a0acf8273388190ba99a4d5900a7cce completed May 18, 2026, 8:36 a.m.
Created at: April 16, 2026, 8:41 p.m.