Triple

T22734180
Position Surface form Disambiguated ID Type / Status
Subject South Sulawesi kingdoms E562219 entity
Predicate includedKingdom P12466 FINISHED
Object Talloq
Talloq was a historical kingdom in South Sulawesi, Indonesia, closely associated with the powerful Makassarese polities of the region.
 E1552296 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: Talloq | Statement: [South Sulawesi kingdoms, includedKingdom, Talloq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Talloq
Context triple: [South Sulawesi kingdoms, includedKingdom, Talloq]
  • A. Kugaaruk
    Kugaaruk is a small Inuit hamlet in Nunavut, Canada, located on the Arctic coast and known for its traditional culture and remote northern setting.
  • B. Tovaangar
    Tovaangar is the traditional ancestral homeland of the Gabrielino-Tongva people, encompassing much of the Los Angeles Basin and Southern Channel Islands in California.
  • C. Innaarsuit
    Innaarsuit is a small coastal village in northwestern Greenland known for its remote Arctic location and traditional Inuit community.
  • D. Tasiujaq
    Tasiujaq is a small Inuit village in northern Quebec, Canada, located in the Nunavik region.
  • E. Kivalina
    Kivalina is a small Inupiat village in northwestern Alaska known for its severe coastal erosion and vulnerability to climate change–driven sea level rise.
  • 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: Talloq
Triple: [South Sulawesi kingdoms, includedKingdom, Talloq]
Generated description
Talloq was a historical kingdom in South Sulawesi, Indonesia, closely associated with the powerful Makassarese polities of the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Talloq
Target entity description: Talloq was a historical kingdom in South Sulawesi, Indonesia, closely associated with the powerful Makassarese polities of the region.
  • A. Kugaaruk
    Kugaaruk is a small Inuit hamlet in Nunavut, Canada, located on the Arctic coast and known for its traditional culture and remote northern setting.
  • B. Tovaangar
    Tovaangar is the traditional ancestral homeland of the Gabrielino-Tongva people, encompassing much of the Los Angeles Basin and Southern Channel Islands in California.
  • C. Innaarsuit
    Innaarsuit is a small coastal village in northwestern Greenland known for its remote Arctic location and traditional Inuit community.
  • D. Tasiujaq
    Tasiujaq is a small Inuit village in northern Quebec, Canada, located in the Nunavik region.
  • E. Kivalina
    Kivalina is a small Inupiat village in northwestern Alaska known for its severe coastal erosion and vulnerability to climate change–driven sea level rise.
  • 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_69e24550859c81908727d91efc3a81b4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1796e4970819090fb9c9926673938 completed April 29, 2026, 3:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b8fca5f10819083604273aae3fcc3 completed May 18, 2026, 10:16 p.m.
NEDg Description generation batch_6a0b93bc59e481909e2fbee11a29b7a9 completed May 18, 2026, 10:33 p.m.
NED2 Entity disambiguation (via description) batch_6a0b9488db048190b73ff89215ffeb74 completed May 18, 2026, 10:36 p.m.
Created at: April 17, 2026, 3:22 p.m.