Triple

T20760560
Position Surface form Disambiguated ID Type / Status
Subject United Nations Political Office for Somalia E510965 entity
Predicate shortName P43 FINISHED
Object UNPOS
UNPOS is the United Nations Political Office for Somalia, a UN mission established to support peacebuilding, political reconciliation, and institution-building efforts in Somalia.
 E1448010 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: UNPOS | Statement: [United Nations Political Office for Somalia, shortName, UNPOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UNPOS
Context triple: [United Nations Political Office for Somalia, shortName, UNPOS]
  • A. UNP
    UNP is the stock ticker symbol for Union Pacific Corporation, one of the largest freight railroad companies in the United States.
  • B. UNP
    UNP is a major center-right political party in Sri Lanka formally known as the United National Party.
  • C. unm
    unm is the ISO 639-3 language code for Unami, an Algonquian language traditionally spoken by the Lenape people of the mid-Atlantic region of the United States.
  • D. UNUD
    UNUD is the abbreviation for Udayana University, a major public university located in Bali, Indonesia.
  • E. UNAP
    UNAP is a public university in Peru’s Amazon region known for its focus on tropical ecology, environmental studies, and regional development.
  • 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: UNPOS
Triple: [United Nations Political Office for Somalia, shortName, UNPOS]
Generated description
UNPOS is the United Nations Political Office for Somalia, a UN mission established to support peacebuilding, political reconciliation, and institution-building efforts in Somalia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UNPOS
Target entity description: UNPOS is the United Nations Political Office for Somalia, a UN mission established to support peacebuilding, political reconciliation, and institution-building efforts in Somalia.
  • A. UNP
    UNP is the stock ticker symbol for Union Pacific Corporation, one of the largest freight railroad companies in the United States.
  • B. UNP
    UNP is a major center-right political party in Sri Lanka formally known as the United National Party.
  • C. unm
    unm is the ISO 639-3 language code for Unami, an Algonquian language traditionally spoken by the Lenape people of the mid-Atlantic region of the United States.
  • D. UNUD
    UNUD is the abbreviation for Udayana University, a major public university located in Bali, Indonesia.
  • E. UNAP
    UNAP is a public university in Peru’s Amazon region known for its focus on tropical ecology, environmental studies, and regional development.
  • 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_69e0b4c909ec8190b05987f1639513f6 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c248701081908ae49fca933e05f6 completed April 21, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08e84cc14c8190a3a90116a657af27 completed May 16, 2026, 9:57 p.m.
NEDg Description generation batch_6a08e90ba0188190a4e744a79962bf2e completed May 16, 2026, 10 p.m.
NED2 Entity disambiguation (via description) batch_6a08e9799dbc8190b91f7c0ba0e1cfaf completed May 16, 2026, 10:02 p.m.
Created at: April 16, 2026, 12:35 p.m.