Triple

T7878778
Position Surface form Disambiguated ID Type / Status
Subject Teshie E182924 entity
Predicate hasNeighbouringTown P3883 FINISHED
Object La
La is a coastal town in the Greater Accra Region of Ghana, known as one of the traditional Ga communities within the Accra metropolitan area.
 E701107 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: La | Statement: [Teshie, hasNeighbouringTown, La]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La
Context triple: [Teshie, hasNeighbouringTown, La]
  • A. Una
    Una is a feminine given name of Latin origin meaning "one" or "unity," used in various cultures and literary works.
  • B. Una
    Una is a river in the Western Balkans, known for its clear turquoise waters and scenic canyons along the border of Bosnia and Herzegovina and Croatia.
  • C. Le
    Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
  • D. Laja
    Laja is a small Chilean city in the Biobío Region, known for its riverside setting and proximity to the Biobío River.
  • E. Lon
    Lon is the family name of Lon Nol, the Cambodian general and politician who led a coup against Prince Norodom Sihanouk and headed the Khmer Republic in the early 1970s.
  • 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: La
Triple: [Teshie, hasNeighbouringTown, La]
Generated description
La is a coastal town in the Greater Accra Region of Ghana, known as one of the traditional Ga communities within the Accra metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La
Target entity description: La is a coastal town in the Greater Accra Region of Ghana, known as one of the traditional Ga communities within the Accra metropolitan area.
  • A. Una
    Una is a feminine given name of Latin origin meaning "one" or "unity," used in various cultures and literary works.
  • B. Una
    Una is a river in the Western Balkans, known for its clear turquoise waters and scenic canyons along the border of Bosnia and Herzegovina and Croatia.
  • C. لوا
    لوا د افغانستان ملي اردو یو لوی پوځي تشکیلات دی چې له څو کنډکونو جوړ شوی او د منځنۍ کچې د قوماندې او عملیاتو واحد ګڼل کېږي.
  • D. Le
    Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
  • E. Laja
    Laja is a small Chilean city in the Biobío Region, known for its riverside setting and proximity to the Biobío River.
  • 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_69ca828a17248190b46defe758bc5ad3 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39bd64e481909f699e7dd2818b8f completed March 31, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b86c20081909aa029cda7c48d44 completed March 31, 2026, 5:28 a.m.
NEDg Description generation batch_69cb7631d10881908e3c7dacb98520cd completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbbf847f3c819092d690d8d65f6d60 completed March 31, 2026, 12:35 p.m.
Created at: March 30, 2026, 4:57 p.m.