Triple

T8925565
Position Surface form Disambiguated ID Type / Status
Subject Lagash E212531 entity
Predicate majorDeity P7648 FINISHED
Object Bau
Bau is a Mesopotamian goddess primarily associated with healing, protection, and the city of Lagash.
E766731 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: Bau | Statement: [Lagash, majorDeity, Bau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bau
Context triple: [Lagash, majorDeity, Bau]
  • A. Baure
    Baure is an indigenous Arawakan language of Bolivia, traditionally spoken in the Beni region by the Baure people.
  • B. Baní
    Baní is a city in the Peravia Province of the Dominican Republic, known as an important agricultural and historical center in the southern region of the country.
  • C. Batu
    Batu is a rhythmic and energetic dance piece featured within the traditional Odissi classical dance repertoire of eastern India.
  • D. Batu
    Batu is a highland city in East Java, Indonesia, known for its cool climate, mountain scenery, and popular tourist attractions such as theme parks and apple orchards.
  • E. Baufra
    Baufra was an ancient Egyptian prince of the 4th Dynasty, known primarily as a son of the pharaoh Khufu.
  • 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: Bau
Triple: [Lagash, majorDeity, Bau]
Generated description
Bau is a Mesopotamian goddess primarily associated with healing, protection, and the city of Lagash.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bau
Target entity description: Bau is a Mesopotamian goddess primarily associated with healing, protection, and the city of Lagash.
  • A. Baure
    Baure is an indigenous Arawakan language of Bolivia, traditionally spoken in the Beni region by the Baure people.
  • B. Baní
    Baní is a city in the Peravia Province of the Dominican Republic, known as an important agricultural and historical center in the southern region of the country.
  • C. Batu
    Batu is a rhythmic and energetic dance piece featured within the traditional Odissi classical dance repertoire of eastern India.
  • D. Batu
    Batu is a highland city in East Java, Indonesia, known for its cool climate, mountain scenery, and popular tourist attractions such as theme parks and apple orchards.
  • E. Baufra
    Baufra was an ancient Egyptian prince of the 4th Dynasty, known primarily as a son of the pharaoh Khufu.
  • 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.