Triple

T8926266
Position Surface form Disambiguated ID Type / Status
Subject Uruk archaeological site E212544 entity
Predicate alternateName P39 FINISHED
Object Erech
Erech is the ancient name for the Mesopotamian city of Uruk, one of the earliest major urban centers in human history.
 E766774 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: Erech | Statement: [Uruk archaeological site, alternateName, Erech]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Erech
Context triple: [Uruk archaeological site, alternateName, Erech]
  • A. Nippur
    Nippur was an ancient Sumerian city in Mesopotamia that served as a major religious center dedicated to the god Enlil.
  • B. Lachish
    Lachish was a major fortified Canaanite and later Judahite city in the Shephelah region, known as a strategic military and administrative center in ancient Israel.
  • C. Sippar
    Sippar was an important ancient Mesopotamian city, renowned as a religious and administrative center particularly associated with the sun god Shamash.
  • D. Lagash
    Lagash was an important ancient Sumerian city-state in southern Mesopotamia, known for its early political power, distinctive art, and extensive cuneiform records.
  • E. Erechim
    Erechim is a city in southern Brazil known for its strong German-Brazilian cultural heritage and influence.
  • 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: Erech
Triple: [Uruk archaeological site, alternateName, Erech]
Generated description
Erech is the ancient name for the Mesopotamian city of Uruk, one of the earliest major urban centers in human history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Erech
Target entity description: Erech is the ancient name for the Mesopotamian city of Uruk, one of the earliest major urban centers in human history.
  • A. Nippur
    Nippur was an ancient Sumerian city in Mesopotamia that served as a major religious center dedicated to the god Enlil.
  • B. Lachish
    Lachish was a major fortified Canaanite and later Judahite city in the Shephelah region, known as a strategic military and administrative center in ancient Israel.
  • C. Sippar
    Sippar was an important ancient Mesopotamian city, renowned as a religious and administrative center particularly associated with the sun god Shamash.
  • D. Lagash
    Lagash was an important ancient Sumerian city-state in southern Mesopotamia, known for its early political power, distinctive art, and extensive cuneiform records.
  • E. Erechim
    Erechim is a city in southern Brazil known for its strong German-Brazilian cultural heritage and influence.
  • 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_69ca839481d48190b42b037e0d0f636c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66700fb48190874563e535f20437 completed April 1, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba58e9ec81909141c516d05ac790 completed April 3, 2026, 1:02 p.m.
NEDg Description generation batch_69cfbade9330819096d4b0eeacdad6da completed April 3, 2026, 1:04 p.m.
NED2 Entity disambiguation (via description) batch_69cfbec2b8888190a0390168fdcef05f completed April 3, 2026, 1:21 p.m.
Created at: March 30, 2026, 6:57 p.m.