Triple

T8753626
Position Surface form Disambiguated ID Type / Status
Subject Simi E208020 entity
Predicate largestSettlement P163 FINISHED
Object Simi Town
Simi Town is the main urban center and administrative hub of the Simi area.
E771472 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: Simi Town | Statement: [Simi, largestSettlement, Simi Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simi Town
Context triple: [Simi, largestSettlement, Simi Town]
  • A. Gandhi Nagar
    Gandhi Nagar is a residential and commercial neighborhood in East Delhi, India, known for its large textile and garment market.
  • B. Simi Hills
    Simi Hills is a low, rugged mountain range in Southern California known for its chaparral-covered slopes, scenic open space, and role as a natural corridor between the Santa Monica and Santa Susana Mountains.
  • C. Netaji Nagar
    Netaji Nagar is a small coastal village located on Little Andaman Island in the Andaman and Nicobar Islands of India.
  • D. Budge Budge
    Budge Budge is an industrial town and river port in West Bengal, India, located along the Hooghly River near Kolkata.
  • E. Navi Mumbai
    Navi Mumbai is a planned satellite city across the harbor from Mumbai, developed to decongest the main metropolis and featuring organized residential, commercial, and industrial zones.
  • 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: Simi Town
Triple: [Simi, largestSettlement, Simi Town]
Generated description
Simi Town is the main urban center and administrative hub of the Simi area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Simi Town
Target entity description: Simi Town is the main urban center and administrative hub of the Simi area.
  • A. Gandhi Nagar
    Gandhi Nagar is a residential and commercial neighborhood in East Delhi, India, known for its large textile and garment market.
  • B. Simi Hills
    Simi Hills is a low, rugged mountain range in Southern California known for its chaparral-covered slopes, scenic open space, and role as a natural corridor between the Santa Monica and Santa Susana Mountains.
  • C. Netaji Nagar
    Netaji Nagar is a small coastal village located on Little Andaman Island in the Andaman and Nicobar Islands of India.
  • D. Budge Budge
    Budge Budge is an industrial town and river port in West Bengal, India, located along the Hooghly River near Kolkata.
  • E. Navi Mumbai
    Navi Mumbai is a planned satellite city across the harbor from Mumbai, developed to decongest the main metropolis and featuring organized residential, commercial, and industrial zones.
  • 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_69ca835cd6b08190bd7c63db92f53c86 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5dd714dc8190bccc4d52f988958d completed March 31, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0771920819081f191567c7e9fd2 completed April 3, 2026, 2:36 p.m.
NEDg Description generation batch_69cfd14a28d48190b63561f9a537daeb completed April 3, 2026, 2:40 p.m.
NED2 Entity disambiguation (via description) batch_69cfd1fd6db08190921285c3cfd3ce91 completed April 3, 2026, 2:43 p.m.
Created at: March 30, 2026, 6:39 p.m.