Triple

T14521812
Position Surface form Disambiguated ID Type / Status
Subject Somali Airlines E340670 entity
Predicate callsign P1565 FINISHED
Object SOMALAIR
SOMALAIR is the radio callsign historically used by Somali Airlines for its flight operations and air traffic communications.
E1105137 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: SOMALAIR | Statement: [Somali Airlines, callsign, SOMALAIR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SOMALAIR
Context triple: [Somali Airlines, callsign, SOMALAIR]
  • A. Somalo
    The Somalo was the official currency used in Italian Somaliland during the mid-20th century before being replaced by the Somali shilling.
  • B. Hawiye
    The Hawiye are one of the largest and most influential Somali clans, historically centered in central and southern Somalia and prominent in the country’s politics, economy, and culture.
  • C. Benadiri Somali
    Benadiri Somali is a coastal dialect of the Somali language spoken primarily by communities in and around Mogadishu and along Somalia’s southern Benadir coast.
  • D. Safi
    Safi is a Pashtun tribe associated with the Karlani tribal confederation in Afghanistan and Pakistan.
  • E. Safi
    Safi is a historic Moroccan port city on the Atlantic coast known for its fishing industry, ceramics, and Portuguese-era fortifications.
  • 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: SOMALAIR
Triple: [Somali Airlines, callsign, SOMALAIR]
Generated description
SOMALAIR is the radio callsign historically used by Somali Airlines for its flight operations and air traffic communications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SOMALAIR
Target entity description: SOMALAIR is the radio callsign historically used by Somali Airlines for its flight operations and air traffic communications.
  • A. Somalo
    The Somalo was the official currency used in Italian Somaliland during the mid-20th century before being replaced by the Somali shilling.
  • B. Hawiye
    The Hawiye are one of the largest and most influential Somali clans, historically centered in central and southern Somalia and prominent in the country’s politics, economy, and culture.
  • C. Benadiri Somali
    Benadiri Somali is a coastal dialect of the Somali language spoken primarily by communities in and around Mogadishu and along Somalia’s southern Benadir coast.
  • D. Safi
    Safi is a Pashtun tribe associated with the Karlani tribal confederation in Afghanistan and Pakistan.
  • E. Safi
    Safi is a historic Moroccan port city on the Atlantic coast known for its fishing industry, ceramics, and Portuguese-era fortifications.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de9a72cff08190878b4bed9b0b5eb5 completed April 14, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a4da6908190a3e2cae16f6240d9 completed May 8, 2026, 5:53 a.m.
NEDg Description generation batch_69fd7bc384b88190bdf562e68b0c44f6 completed May 8, 2026, 5:59 a.m.
NED2 Entity disambiguation (via description) batch_69fd7c2260808190bced99ed86e8fd4b completed May 8, 2026, 6:01 a.m.
Created at: April 10, 2026, 1:22 a.m.