Triple

T14588565
Position Surface form Disambiguated ID Type / Status
Subject Jubba Airways E342382 entity
Predicate ICAOcode P419 FINISHED
Object JUB
JUB is the ICAO airline designator assigned to Jubba Airways, a regional carrier based in Somalia.
E1107704 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: JUB | Statement: [Jubba Airways, ICAOcode, JUB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JUB
Context triple: [Jubba Airways, ICAOcode, JUB]
  • A. JU
    JU is the commonly used abbreviation for Jiwaji University, a public university located in Gwalior, Madhya Pradesh, India.
  • B. JU
    JU is the station code for Jodhpur Junction, a major railway hub in the Indian state of Rajasthan.
  • C. JU
    JU is the two-letter IATA airline designator assigned to Air Serbia, the national flag carrier of Serbia.
  • D. JIB
    JIB is the IATA airport code for Djibouti–Ambouli International Airport, the main international gateway serving Djibouti.
  • E. JAB
    JAB (the FedRAMP Joint Authorization Board) is the primary governance and decision-making body for FedRAMP that reviews and authorizes cloud services for use by U.S. federal agencies.
  • 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: JUB
Triple: [Jubba Airways, ICAOcode, JUB]
Generated description
JUB is the ICAO airline designator assigned to Jubba Airways, a regional carrier based in Somalia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: JUB
Target entity description: JUB is the ICAO airline designator assigned to Jubba Airways, a regional carrier based in Somalia.
  • A. JU
    JU is the two-letter IATA airline designator assigned to Air Serbia, the national flag carrier of Serbia.
  • B. JU
    JU is the commonly used abbreviation for Jiwaji University, a public university located in Gwalior, Madhya Pradesh, India.
  • C. JU
    JU is the station code for Jodhpur Junction, a major railway hub in the Indian state of Rajasthan.
  • D. JIB
    JIB is the IATA airport code for Djibouti–Ambouli International Airport, the main international gateway serving Djibouti.
  • E. JAB
    JAB (the FedRAMP Joint Authorization Board) is the primary governance and decision-making body for FedRAMP that reviews and authorizes cloud services for use by U.S. federal agencies.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4237d88819097f3f9a40f5be152 completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94c1768881909eebb0dae15ac964 completed May 8, 2026, 7:46 a.m.
NEDg Description generation batch_69fd95e381948190b162cdd61b4dc353 completed May 8, 2026, 7:50 a.m.
NED2 Entity disambiguation (via description) batch_69fd96b9728081909404c21370bde85b completed May 8, 2026, 7:54 a.m.
Created at: April 10, 2026, 1:24 a.m.