Triple

T8916824
Position Surface form Disambiguated ID Type / Status
Subject Sumerian King List E212313 entity
Predicate listsCity P51257 FINISHED
Object Bad-tibira
Bad-tibira was an ancient Sumerian city, traditionally regarded as one of the earliest urban centers and an important hub of metallurgy and trade in southern Mesopotamia.
 E766874 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: Bad-tibira | Statement: [Sumerian King List, listsCity, Bad-tibira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bad-tibira
Context triple: [Sumerian King List, listsCity, Bad-tibira]
  • A. Tabasaran
    Tabasaran is a Northeast Caucasian language spoken primarily by the Tabasaran people in southern Dagestan, Russia.
  • B. Tebunginako
    Tebunginako is a village settlement on the atoll of Abaiang in the island nation of Kiribati, known for being severely affected by coastal erosion and sea-level rise.
  • C. Toyabungkah
    Toyabungkah is a village in Bali, Indonesia, known as a gateway to the Mount Batur volcanic region and its nearby hot springs.
  • D. Shabako
    Shabako is an alternative name for Shabaka, a Kushite pharaoh of Egypt’s Twenty-fifth Dynasty known for consolidating Nubian rule over Egypt.
  • E. Okutama
    Okutama is a mountainous town in western Tokyo, Japan, known for its forests, lakes, and outdoor recreation areas at the headwaters of the Tama River.
  • 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: Bad-tibira
Triple: [Sumerian King List, listsCity, Bad-tibira]
Generated description
Bad-tibira was an ancient Sumerian city, traditionally regarded as one of the earliest urban centers and an important hub of metallurgy and trade in southern Mesopotamia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bad-tibira
Target entity description: Bad-tibira was an ancient Sumerian city, traditionally regarded as one of the earliest urban centers and an important hub of metallurgy and trade in southern Mesopotamia.
  • A. Tabasaran
    Tabasaran is a Northeast Caucasian language spoken primarily by the Tabasaran people in southern Dagestan, Russia.
  • B. Tebunginako
    Tebunginako is a village settlement on the atoll of Abaiang in the island nation of Kiribati, known for being severely affected by coastal erosion and sea-level rise.
  • C. Toyabungkah
    Toyabungkah is a village in Bali, Indonesia, known as a gateway to the Mount Batur volcanic region and its nearby hot springs.
  • D. Shabako
    Shabako is an alternative name for Shabaka, a Kushite pharaoh of Egypt’s Twenty-fifth Dynasty known for consolidating Nubian rule over Egypt.
  • E. Okutama
    Okutama is a mountainous town in western Tokyo, Japan, known for its forests, lakes, and outdoor recreation areas at the headwaters of the Tama 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_69ca8393b1808190bd4336787ffa2c40 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6610cd48819090a184c5f9465626 completed April 1, 2026, 12:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba4567a88190855b964bc6e3ac6f completed April 3, 2026, 1:01 p.m.
NEDg Description generation batch_69cfbb0db6848190a375196a021d1bb9 completed April 3, 2026, 1:05 p.m.
NED2 Entity disambiguation (via description) batch_69cfbf7f551c819089830d16fe55599e completed April 3, 2026, 1:24 p.m.
Created at: March 30, 2026, 6:56 p.m.