Triple

T4733664
Position Surface form Disambiguated ID Type / Status
Subject Anseba E105070 entity
Predicate containsTown P847 FINISHED
Object Hagaz
Hagaz is a town in Eritrea’s Anseba region, known primarily as an agricultural and local administrative center.
 E465402 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: Hagaz | Statement: [Anseba, containsTown, Hagaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hagaz
Context triple: [Anseba, containsTown, Hagaz]
  • A. Hamutal
    Hamutal was a queen of Judah, known as the mother of the last king of Judah, Zedekiah, during the final years before the Babylonian exile.
  • B. Mugatu
    Mugatu is the flamboyant, villainous fashion designer portrayed by Will Ferrell in the comedy film "Zoolander."
  • C. Hazaragi
    Hazaragi is a variety of Persian primarily spoken by the Hazara people of central Afghanistan and surrounding regions, distinguished by its unique phonology and significant Turkic and Mongolic influences.
  • D. Azog
    Azog is a fearsome pale orc chieftain and primary antagonist in Peter Jackson’s Hobbit film trilogy, relentlessly hunting Thorin Oakenshield and his company.
  • E. Garagay
    Garagay is an important archaeological site in Peru known for its Early Horizon ceremonial architecture and elaborate polychrome friezes associated with early Andean religious traditions.
  • 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: Hagaz
Triple: [Anseba, containsTown, Hagaz]
Generated description
Hagaz is a town in Eritrea’s Anseba region, known primarily as an agricultural and local administrative center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hagaz
Target entity description: Hagaz is a town in Eritrea’s Anseba region, known primarily as an agricultural and local administrative center.
  • A. Hamutal
    Hamutal was a queen of Judah, known as the mother of the last king of Judah, Zedekiah, during the final years before the Babylonian exile.
  • B. Mugatu
    Mugatu is the flamboyant, villainous fashion designer portrayed by Will Ferrell in the comedy film "Zoolander."
  • C. Hazaragi
    Hazaragi is a variety of Persian primarily spoken by the Hazara people of central Afghanistan and surrounding regions, distinguished by its unique phonology and significant Turkic and Mongolic influences.
  • D. Azog
    Azog is a fearsome pale orc chieftain and primary antagonist in Peter Jackson’s Hobbit film trilogy, relentlessly hunting Thorin Oakenshield and his company.
  • E. Garagay
    Garagay is an important archaeological site in Peru known for its Early Horizon ceremonial architecture and elaborate polychrome friezes associated with early Andean religious traditions.
  • 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_69bd43ee52048190b81a4f066534ffb3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6467a1fc819089485b4d76e0edc4 completed March 20, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be10acf7488190946b31f95114d459 completed March 21, 2026, 3:29 a.m.
NEDg Description generation batch_69be1502bbb4819094c27231dc6a9762 completed March 21, 2026, 3:48 a.m.
NED2 Entity disambiguation (via description) batch_69be15ba6dac8190b37130ba0a9209c3 completed March 21, 2026, 3:51 a.m.
Created at: March 20, 2026, 1:19 p.m.