Triple

T5634711
Position Surface form Disambiguated ID Type / Status
Subject Älvkarleby Municipality E147918 entity
Predicate hasSettlement P1068 FINISHED
Object Marma
Marma is a small locality in Älvkarleby Municipality in Uppsala County, Sweden.
E538544 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: Marma | Statement: [Älvkarleby Municipality, hasSettlement, Marma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marma
Context triple: [Älvkarleby Municipality, hasSettlement, Marma]
  • A. Bhailsa
    Bhailsa is the former historical name of Vidisha, an ancient city in the central Indian state of Madhya Pradesh known for its rich archaeological and cultural heritage.
  • B. Mahoba
    Mahoba is a historic town in Uttar Pradesh, India, renowned for its role as a prominent center of power and culture in the Bundelkhand region, especially under the Chandela rulers.
  • C. Madra
    Madra was an ancient kingdom in the northwest of the Indian subcontinent, frequently mentioned in the Mahabharata and associated with figures like King Shalya and the Pandava prince Nakula.
  • D. Kadamtala
    Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
  • E. Pavapuri
    Pavapuri is a revered Jain pilgrimage site in Bihar, India, best known as the place where Mahavira, the 24th Tirthankara, attained nirvana.
  • 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: Marma
Triple: [Älvkarleby Municipality, hasSettlement, Marma]
Generated description
Marma is a small locality in Älvkarleby Municipality in Uppsala County, Sweden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marma
Target entity description: Marma is a small locality in Älvkarleby Municipality in Uppsala County, Sweden.
  • A. Bhailsa
    Bhailsa is the former historical name of Vidisha, an ancient city in the central Indian state of Madhya Pradesh known for its rich archaeological and cultural heritage.
  • B. Mahoba
    Mahoba is a historic town in Uttar Pradesh, India, renowned for its role as a prominent center of power and culture in the Bundelkhand region, especially under the Chandela rulers.
  • C. Madra
    Madra was an ancient kingdom in the northwest of the Indian subcontinent, frequently mentioned in the Mahabharata and associated with figures like King Shalya and the Pandava prince Nakula.
  • D. Kadamtala
    Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
  • E. Pavapuri
    Pavapuri is a revered Jain pilgrimage site in Bihar, India, best known as the place where Mahavira, the 24th Tirthankara, attained nirvana.
  • 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_69c00907bc8881909ed760d3ed73ef35 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0226118548190877793dadf6cacba completed March 22, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d6d2dfc8190a2eabb8beda04ee5 completed March 22, 2026, 8:13 p.m.
NEDg Description generation batch_69c04e8a92a0819091bad1fbef4a509b completed March 22, 2026, 8:18 p.m.
NED2 Entity disambiguation (via description) batch_69c056acf1f48190bf7324ae178adbb7 completed March 22, 2026, 8:53 p.m.
Created at: March 22, 2026, 3:41 p.m.