Triple

T3207186
Position Surface form Disambiguated ID Type / Status
Subject King of Anshan E67191 entity
Predicate hasHistoricalRegion P915 FINISHED
Object Susiana
Susiana was an ancient historical region in southwestern Iran, closely associated with the Elamite civilization and centered around the city of Susa.
 E335823 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: Susiana | Statement: [King of Anshan, hasHistoricalRegion, Susiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Susiana
Context triple: [King of Anshan, hasHistoricalRegion, Susiana]
  • A. Madera
    Madera is a city in California’s San Joaquin Valley known primarily as the administrative and economic center of Madera County.
  • B. Elato
    Elato is a small coral atoll and island community in Yap State of the Federated States of Micronesia, known for its traditional seafaring culture and remote Pacific setting.
  • C. Pinales
    Pinales is the botanical order of coniferous trees and shrubs that includes pines, firs, spruces, and related needle-leaved, cone-bearing plants.
  • D. Araluen
    Araluen is an electoral division in the Northern Territory of Australia that includes part of the town of Alice Springs.
  • E. Chula
    Chula is Thailand’s oldest and one of its most prestigious universities, renowned for its academic excellence and central role in the country’s higher education system.
  • 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: Susiana
Triple: [King of Anshan, hasHistoricalRegion, Susiana]
Generated description
Susiana was an ancient historical region in southwestern Iran, closely associated with the Elamite civilization and centered around the city of Susa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Susiana
Target entity description: Susiana was an ancient historical region in southwestern Iran, closely associated with the Elamite civilization and centered around the city of Susa.
  • A. Madera
    Madera is a city in California’s San Joaquin Valley known primarily as the administrative and economic center of Madera County.
  • B. Elato
    Elato is a small coral atoll and island community in Yap State of the Federated States of Micronesia, known for its traditional seafaring culture and remote Pacific setting.
  • C. Pinales
    Pinales is the botanical order of coniferous trees and shrubs that includes pines, firs, spruces, and related needle-leaved, cone-bearing plants.
  • D. Araluen
    Araluen is an electoral division in the Northern Territory of Australia that includes part of the town of Alice Springs.
  • E. Chula
    Chula is Thailand’s oldest and one of its most prestigious universities, renowned for its academic excellence and central role in the country’s higher education system.
  • 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_69ad858ac36c81909962589cd277d6e2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaa58340881908347d772cfa0ac4c completed March 8, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24bcf7b2481908bc52cfa71bd313c completed March 12, 2026, 5:14 a.m.
NEDg Description generation batch_69b24cb0c5f0819083ea589ded12ef3b completed March 12, 2026, 5:18 a.m.
NED2 Entity disambiguation (via description) batch_69b24d2ce888819087cc7c3f5db0e859 completed March 12, 2026, 5:20 a.m.
Created at: March 8, 2026, 3:07 p.m.