Triple

T3314222
Position Surface form Disambiguated ID Type / Status
Subject Amel-Marduk E69642 entity
Predicate spouse P13 FINISHED
Object Kashshaya
Kashshaya was a Neo-Babylonian royal woman known primarily as the wife of King Amel-Marduk.
 E347398 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: Kashshaya | Statement: [Amel-Marduk, spouse, Kashshaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kashshaya
Context triple: [Amel-Marduk, spouse, Kashshaya]
  • A. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • B. Yakhin
    Yakhin is a variant form of the biblical name Jachin, traditionally associated with one of the two pillars of Solomon’s Temple.
  • C. Krakhuna
    Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
  • D. Huvishka
    Huvishka was a prominent Kushan emperor of the 2nd century CE, known for his extensive coinage and role in consolidating the empire’s power and cultural diversity across Central and South Asia.
  • E. Kuqa
    Kuqa is an ancient oasis city in China’s Xinjiang region that historically served as a key Buddhist and Silk Road cultural center in the Tarim Basin.
  • 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: Kashshaya
Triple: [Amel-Marduk, spouse, Kashshaya]
Generated description
Kashshaya was a Neo-Babylonian royal woman known primarily as the wife of King Amel-Marduk.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kashshaya
Target entity description: Kashshaya was a Neo-Babylonian royal woman known primarily as the wife of King Amel-Marduk.
  • A. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • B. Yakhin
    Yakhin is a variant form of the biblical name Jachin, traditionally associated with one of the two pillars of Solomon’s Temple.
  • C. Krakhuna
    Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
  • D. Huvishka
    Huvishka was a prominent Kushan emperor of the 2nd century CE, known for his extensive coinage and role in consolidating the empire’s power and cultural diversity across Central and South Asia.
  • E. Kuqa
    Kuqa is an ancient oasis city in China’s Xinjiang region that historically served as a key Buddhist and Silk Road cultural center in the Tarim Basin.
  • 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_69ad85a0bb048190a5458d2738012d61 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb10f97b48190afb9c3864faf8cb2 completed March 8, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3f760348190abd8854c369cb41b completed March 12, 2026, 5:12 p.m.
NEDg Description generation batch_69b2fa1dafe8819094905ac930fd1761 completed March 12, 2026, 5:38 p.m.
NED2 Entity disambiguation (via description) batch_69b312b6e224819080957998acbed524 completed March 12, 2026, 7:23 p.m.
Created at: March 8, 2026, 3:11 p.m.