Triple

T23256747
Position Surface form Disambiguated ID Type / Status
Subject Northern Province of Sierra Leone E581894 entity
Predicate hasTown P847 FINISHED
Object Kabala
Kabala is a prominent town in northern Sierra Leone known as an administrative and commercial center for the surrounding rural region.
 E1577059 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: Kabala | Statement: [Northern Province of Sierra Leone, hasTown, Kabala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kabala
Context triple: [Northern Province of Sierra Leone, hasTown, Kabala]
  • A. Kabala
    Kabala was an ancient city that served as the capital of the historical kingdom of Caucasian Albania in the eastern Caucasus region.
  • B. Kabala
    Kabala is a small rural settlement located in Järva County in central Estonia.
  • C. The Cabala
    The Cabala is a 1926 novel by Thornton Wilder that portrays a young American’s encounters with an enigmatic circle of aristocrats and eccentrics in post–World War I Rome.
  • D. Kabbalah
    Kabbalah is a Jewish mystical tradition that explores the hidden, spiritual dimensions of God, the universe, and the Torah through symbolic and esoteric teachings.
  • E. Kabola
    Kabola is a Papuan language spoken on Alor Island in eastern Indonesia, belonging to the Alor–Pantar language family.
  • 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: Kabala
Triple: [Northern Province of Sierra Leone, hasTown, Kabala]
Generated description
Kabala is a prominent town in northern Sierra Leone known as an administrative and commercial center for the surrounding rural region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kabala
Target entity description: Kabala is a prominent town in northern Sierra Leone known as an administrative and commercial center for the surrounding rural region.
  • A. Kabala
    Kabala was an ancient city that served as the capital of the historical kingdom of Caucasian Albania in the eastern Caucasus region.
  • B. Kabala
    Kabala is a small rural settlement located in Järva County in central Estonia.
  • C. The Cabala
    The Cabala is a 1926 novel by Thornton Wilder that portrays a young American’s encounters with an enigmatic circle of aristocrats and eccentrics in post–World War I Rome.
  • D. Kabbalah
    Kabbalah is a Jewish mystical tradition that explores the hidden, spiritual dimensions of God, the universe, and the Torah through symbolic and esoteric teachings.
  • E. Kabola
    Kabola is a Papuan language spoken on Alor Island in eastern Indonesia, belonging to the Alor–Pantar language family.
  • 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194c4905c819099ca21c6529413ac completed April 29, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f6be3ec8190be316ae03c3b3729 completed May 19, 2026, 10:46 a.m.
NEDg Description generation batch_6a0c40297d3c8190b366b60cec3dbbf8 completed May 19, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0c40ffd67481908931ffc2d91fb02b completed May 19, 2026, 10:52 a.m.
Created at: April 17, 2026, 4:11 p.m.