Triple

T12184483
Position Surface form Disambiguated ID Type / Status
Subject United Nations Assistance Mission for Iraq E290297 entity
Predicate shortName P43 FINISHED
Object UNAMI
UNAMI is a United Nations political mission established to support Iraq’s political transition, reconciliation, and reconstruction efforts.
 E967682 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: UNAMI | Statement: [United Nations Assistance Mission for Iraq, shortName, UNAMI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UNAMI
Context triple: [United Nations Assistance Mission for Iraq, shortName, UNAMI]
  • A. Uskudama
    Uskudama was the ancient Thracian settlement that later developed into the city known as Adrianople (modern Edirne) in present-day Turkey.
  • B. Unami
    Unami is a dialect of the Lenape (Delaware) language historically spoken by the Lenape people in parts of the mid-Atlantic region of North America.
  • C. Fujinami
    Fujinami is a Japanese surname borne by various notable individuals, including professional athletes and entertainers.
  • D. Omura
    Omura is a coastal city in western Japan known for its proximity to Nagasaki, Omura Bay, and its regional industrial and transportation hubs.
  • E. ミナミ
    ミナミは大阪市中央部に位置し、なんばを中心とした繁華街やショッピングエリアとして知られる大阪有数の観光・商業エリアである。
  • 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: UNAMI
Triple: [United Nations Assistance Mission for Iraq, shortName, UNAMI]
Generated description
UNAMI is a United Nations political mission established to support Iraq’s political transition, reconciliation, and reconstruction efforts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UNAMI
Target entity description: UNAMI is a United Nations political mission established to support Iraq’s political transition, reconciliation, and reconstruction efforts.
  • A. Uskudama
    Uskudama was the ancient Thracian settlement that later developed into the city known as Adrianople (modern Edirne) in present-day Turkey.
  • B. Unami
    Unami is a dialect of the Lenape (Delaware) language historically spoken by the Lenape people in parts of the mid-Atlantic region of North America.
  • C. Fujinami
    Fujinami is a Japanese surname borne by various notable individuals, including professional athletes and entertainers.
  • D. Omura
    Omura is a coastal city in western Japan known for its proximity to Nagasaki, Omura Bay, and its regional industrial and transportation hubs.
  • E. ミナミ
    ミナミは大阪市中央部に位置し、なんばを中心とした繁華街やショッピングエリアとして知られる大阪有数の観光・商業エリアである。
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d915ffe644819085f4eb64802fe349 completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6aecb0881909084f3ff2a9e52ea completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f600b7e1788190b1df4fdfd96118d0 completed May 2, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_69f604c4ef7c8190bc128b1aa535744d completed May 2, 2026, 2:05 p.m.
Created at: April 8, 2026, 9:50 p.m.