Triple

T8531552
Position Surface form Disambiguated ID Type / Status
Subject Caspian Airlines E201962 entity
Predicate callsign P1565 FINISHED
Object CASPIAN
CASPIAN is the radio callsign used by Caspian Airlines for identifying its flights in air traffic communications.
 E740174 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: CASPIAN | Statement: [Caspian Airlines, callsign, CASPIAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CASPIAN
Context triple: [Caspian Airlines, callsign, CASPIAN]
  • A. Middle Caspian
    Middle Caspian is the deep central basin of the Caspian Sea, situated between its northern shallow shelf and southern deep-water region.
  • B. Southern Caspian
    Southern Caspian is the southernmost basin of the Caspian Sea, bordering Iran and known for its deep waters and significant ecological and economic importance.
  • C. Northern Caspian
    The Northern Caspian is the shallow, northernmost part of the Caspian Sea, known for its extensive wetlands, rich fisheries, and significant oil and gas reserves.
  • D. Baheri
    Baheri is a town located in the Darbhanga district of the Indian state of Bihar.
  • E. Caspian Sea
    The Caspian Sea is the world’s largest inland body of water, a landlocked saltwater lake situated between Europe and Asia and bordered by several countries including Russia, Kazakhstan, Turkmenistan, Iran, and Azerbaijan.
  • 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: CASPIAN
Triple: [Caspian Airlines, callsign, CASPIAN]
Generated description
CASPIAN is the radio callsign used by Caspian Airlines for identifying its flights in air traffic communications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CASPIAN
Target entity description: CASPIAN is the radio callsign used by Caspian Airlines for identifying its flights in air traffic communications.
  • A. Middle Caspian
    Middle Caspian is the deep central basin of the Caspian Sea, situated between its northern shallow shelf and southern deep-water region.
  • B. Southern Caspian
    Southern Caspian is the southernmost basin of the Caspian Sea, bordering Iran and known for its deep waters and significant ecological and economic importance.
  • C. Northern Caspian
    The Northern Caspian is the shallow, northernmost part of the Caspian Sea, known for its extensive wetlands, rich fisheries, and significant oil and gas reserves.
  • D. Baheri
    Baheri is a town located in the Darbhanga district of the Indian state of Bihar.
  • E. Caspian Sea
    The Caspian Sea is the world’s largest inland body of water, a landlocked saltwater lake situated between Europe and Asia and bordered by several countries including Russia, Kazakhstan, Turkmenistan, Iran, and Azerbaijan.
  • 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe676e2ac8190b65a3d2a935776fd completed March 31, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d70f81881908ac784608ad7a2aa completed April 2, 2026, 1:21 p.m.
NEDg Description generation batch_69ce6e69213c8190add7eb9cc74b1a33 completed April 2, 2026, 1:26 p.m.
NED2 Entity disambiguation (via description) batch_69ce6f28ae6481909a8a13613f3eb5e0 completed April 2, 2026, 1:29 p.m.
Created at: March 30, 2026, 6:17 p.m.