Triple

T21042913
Position Surface form Disambiguated ID Type / Status
Subject Wajo E518372 entity
Predicate hasLegalCode P3013 FINISHED
Object ade’ Wajo
ade’ Wajo is the traditional legal code of the historical Wajo kingdom in South Sulawesi, Indonesia, outlining its customary laws and governance principles.
E1463933 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: ade’ Wajo | Statement: [Wajo, hasLegalCode, ade’ Wajo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ade’ Wajo
Context triple: [Wajo, hasLegalCode, ade’ Wajo]
  • A. Waja
    Waja is a settlement located near the town of Alamata in northern Ethiopia.
  • B. Waja
    Waja is a Chadic language spoken by the Waja people in northeastern Nigeria.
  • C. Wajaale
    Wajaale is a border town between Somaliland and Ethiopia that serves as a key trade and transport hub in the region.
  • D. Waiyevo
    Waiyevo is the principal administrative and service center on the Fijian island of Taveuni.
  • E. Wacho
    Wacho was a 6th-century king of the Lombards known for consolidating royal power and shaping the early history of the Lombard kingdom in Central Europe.
  • 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: ade’ Wajo
Triple: [Wajo, hasLegalCode, ade’ Wajo]
Generated description
ade’ Wajo is the traditional legal code of the historical Wajo kingdom in South Sulawesi, Indonesia, outlining its customary laws and governance principles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ade’ Wajo
Target entity description: ade’ Wajo is the traditional legal code of the historical Wajo kingdom in South Sulawesi, Indonesia, outlining its customary laws and governance principles.
  • A. Waja
    Waja is a settlement located near the town of Alamata in northern Ethiopia.
  • B. Waja
    Waja is a Chadic language spoken by the Waja people in northeastern Nigeria.
  • C. Wajaale
    Wajaale is a border town between Somaliland and Ethiopia that serves as a key trade and transport hub in the region.
  • D. Waiyevo
    Waiyevo is the principal administrative and service center on the Fijian island of Taveuni.
  • E. Wacho
    Wacho was a 6th-century king of the Lombards known for consolidating royal power and shaping the early history of the Lombard kingdom in Central Europe.
  • 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_69e0b50438e08190917e2538bb8bc034 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fcf1950081908ff9fe8719e1e81b completed April 21, 2026, 4:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0947532dc48190a6416b669b1b5de7 completed May 17, 2026, 4:42 a.m.
NEDg Description generation batch_6a0949d5152081909199b93c1848cab4 completed May 17, 2026, 4:53 a.m.
NED2 Entity disambiguation (via description) batch_6a094a57117c819088cb5b7b565f4806 completed May 17, 2026, 4:55 a.m.
Created at: April 16, 2026, 2:17 p.m.