Triple

T11860453
Position Surface form Disambiguated ID Type / Status
Subject SITE Town E282143 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Jahanabad
Jahanabad is a locality that forms one of the neighborhoods within the town of SITE Town.
E951597 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: Jahanabad | Statement: [SITE Town, hasNeighbourhood, Jahanabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jahanabad
Context triple: [SITE Town, hasNeighbourhood, Jahanabad]
  • A. Brahmanabad
    Brahmanabad was an important early medieval city in the Sindh region (in present-day Pakistan), known as a major political and administrative center that came under Muslim rule during the early Islamic expansions into the Indian subcontinent.
  • B. Jahanpanah city
    Jahanpanah city was a fortified medieval urban complex in Delhi built as an imperial capital by the Tughlaq rulers of the Delhi Sultanate.
  • C. Mahmudabad
    Mahmudabad is a coastal city in northern Iran, situated along the Caspian Sea in Mazandaran Province and known for its beaches and tourism.
  • D. Bandar Shahpur
    Bandar Shahpur is a port city in southwestern Iran on the Persian Gulf that historically served as a key maritime and logistical hub, including during World War II supply routes.
  • E. Shahabad
    Shahabad is a town in Uttar Pradesh, India, situated within the administrative boundaries of Rampur district.
  • 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: Jahanabad
Triple: [SITE Town, hasNeighbourhood, Jahanabad]
Generated description
Jahanabad is a locality that forms one of the neighborhoods within the town of SITE Town.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jahanabad
Target entity description: Jahanabad is a locality that forms one of the neighborhoods within the town of SITE Town.
  • A. Brahmanabad
    Brahmanabad was an important early medieval city in the Sindh region (in present-day Pakistan), known as a major political and administrative center that came under Muslim rule during the early Islamic expansions into the Indian subcontinent.
  • B. Jahanpanah city
    Jahanpanah city was a fortified medieval urban complex in Delhi built as an imperial capital by the Tughlaq rulers of the Delhi Sultanate.
  • C. Mahmudabad
    Mahmudabad is a coastal city in northern Iran, situated along the Caspian Sea in Mazandaran Province and known for its beaches and tourism.
  • D. Bandar Shahpur
    Bandar Shahpur is a port city in southwestern Iran on the Persian Gulf that historically served as a key maritime and logistical hub, including during World War II supply routes.
  • E. Shahabad
    Shahabad is a town in Uttar Pradesh, India, situated within the administrative boundaries of Rampur district.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a69a099c8190a674db64c50eca5a completed April 10, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f281745ca88190968e1f674d0e483c completed April 29, 2026, 10:08 p.m.
NEDg Description generation batch_69f28a8e64ac8190ba7637fd00e024bd completed April 29, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69f28d4e341c8190abc8febc3b26a617 completed April 29, 2026, 10:59 p.m.
Created at: April 8, 2026, 9:43 p.m.