Triple

T5258521
Position Surface form Disambiguated ID Type / Status
Subject Mukono E118761 entity
Predicate hasNearbyTown P3883 FINISHED
Object Seeta
Seeta is a rapidly growing suburban town and trading center in central Uganda, located along the Kampala–Jinja highway near Mukono.
 E525008 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: Seeta | Statement: [Mukono, hasNearbyTown, Seeta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Seeta
Context triple: [Mukono, hasNearbyTown, Seeta]
  • A. Sita
    Sita is a revered heroine in Hindu mythology, celebrated as the devoted wife of Lord Rama and an enduring symbol of virtue, loyalty, and courage.
  • B. Leela
    Leela is a companion of the Fourth Doctor in the classic British science fiction television series Doctor Who.
  • C. Leela
    Leela is the one-eyed, tough yet compassionate spaceship captain from the animated television series "Futurama."
  • D. Chitrangada
    Chitrangada is a warrior princess from the Indian epic Mahabharata, known as one of Arjuna’s wives and the daughter of the king of Manipur.
  • E. Lalita
    Lalita is a revered aspect of the Hindu goddess Devi, celebrated as a beautiful, benevolent, and playful form of the Divine Mother often associated with Sri Vidya worship.
  • 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: Seeta
Triple: [Mukono, hasNearbyTown, Seeta]
Generated description
Seeta is a rapidly growing suburban town and trading center in central Uganda, located along the Kampala–Jinja highway near Mukono.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Seeta
Target entity description: Seeta is a rapidly growing suburban town and trading center in central Uganda, located along the Kampala–Jinja highway near Mukono.
  • A. Sita
    Sita is a revered heroine in Hindu mythology, celebrated as the devoted wife of Lord Rama and an enduring symbol of virtue, loyalty, and courage.
  • B. Leela
    Leela is a companion of the Fourth Doctor in the classic British science fiction television series Doctor Who.
  • C. Leela
    Leela is the one-eyed, tough yet compassionate spaceship captain from the animated television series "Futurama."
  • D. Chitrangada
    Chitrangada is a warrior princess from the Indian epic Mahabharata, known as one of Arjuna’s wives and the daughter of the king of Manipur.
  • E. Lalita
    Lalita is a revered aspect of the Hindu goddess Devi, celebrated as a beautiful, benevolent, and playful form of the Divine Mother often associated with Sri Vidya worship.
  • 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_69bd446978108190bb5f9c5c23d93f88 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7ba791c08190a18176feae8d1475 completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf83324f0c81909de3afc6b4616bd5 completed March 22, 2026, 5:50 a.m.
NEDg Description generation batch_69bf83cca5b481909e8c3808983e3ca5 completed March 22, 2026, 5:53 a.m.
NED2 Entity disambiguation (via description) batch_69bf844063b48190bbc3f961cbaf8f0a completed March 22, 2026, 5:55 a.m.
Created at: March 20, 2026, 1:50 p.m.