Triple

T8265986
Position Surface form Disambiguated ID Type / Status
Subject Mitanni E193302 entity
Predicate capital P234 FINISHED
Object Washukanni
Washukanni was the ancient and still-unlocated royal city that served as the political and administrative center of the Hurrian kingdom of Mitanni in northern Mesopotamia.
 E722149 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: Washukanni | Statement: [Mitanni, capital, Washukanni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Washukanni
Context triple: [Mitanni, capital, Washukanni]
  • A. Kulisusu
    Kulisusu is a town and administrative center located in the province of Southeast Sulawesi, Indonesia.
  • B. Kashta
    Kashta was a Kushite king of Nubia in the 8th century BCE who began the expansion into Egypt that his successors, including Shabaka, would complete.
  • C. Tumshuq
    Tumshuq is an ancient city in the Tarim Basin region of Xinjiang, China, historically associated with the Saka (Scythian) peoples and their Eastern Iranian languages.
  • D. Wakema
    Wakema is a town in Myanmar’s Ayeyarwady Region, known as the birthplace of former Burmese Prime Minister U Nu.
  • E. Gwarinpa
    Gwarinpa is a large, planned residential district in Abuja, Nigeria, known for its extensive housing estates and relatively well-organized urban layout.
  • 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: Washukanni
Triple: [Mitanni, capital, Washukanni]
Generated description
Washukanni was the ancient and still-unlocated royal city that served as the political and administrative center of the Hurrian kingdom of Mitanni in northern Mesopotamia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Washukanni
Target entity description: Washukanni was the ancient and still-unlocated royal city that served as the political and administrative center of the Hurrian kingdom of Mitanni in northern Mesopotamia.
  • A. Kulisusu
    Kulisusu is a town and administrative center located in the province of Southeast Sulawesi, Indonesia.
  • B. Kashta
    Kashta was a Kushite king of Nubia in the 8th century BCE who began the expansion into Egypt that his successors, including Shabaka, would complete.
  • C. Tumshuq
    Tumshuq is an ancient city in the Tarim Basin region of Xinjiang, China, historically associated with the Saka (Scythian) peoples and their Eastern Iranian languages.
  • D. Wakema
    Wakema is a town in Myanmar’s Ayeyarwady Region, known as the birthplace of former Burmese Prime Minister U Nu.
  • E. Gwarinpa
    Gwarinpa is a large, planned residential district in Abuja, Nigeria, known for its extensive housing estates and relatively well-organized urban layout.
  • 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_69ca82e081d48190986beaa51f498ab9 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb794c54448190a685b8d0070980d7 completed March 31, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd357b0ae081909fdaeab31624e6f1 completed April 1, 2026, 3:10 p.m.
NEDg Description generation batch_69cd4e5e9a2c819099a65053a12c8fde completed April 1, 2026, 4:57 p.m.
NED2 Entity disambiguation (via description) batch_69cd507ce2a881909da6871a9f6df119 completed April 1, 2026, 5:06 p.m.
Created at: March 30, 2026, 5:50 p.m.