Triple

T6011739
Position Surface form Disambiguated ID Type / Status
Subject Petropavlovsk-Kamchatsky Airport E133850 entity
Predicate ICAOcode P419 FINISHED
Object UHPP
UHPP is the ICAO airport code for Petropavlovsk-Kamchatsky Airport, a major air gateway on Russia’s Kamchatka Peninsula.
 E561205 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: UHPP | Statement: [Petropavlovsk-Kamchatsky Airport, ICAOcode, UHPP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UHPP
Context triple: [Petropavlovsk-Kamchatsky Airport, ICAOcode, UHPP]
  • A. UPP
    UPP is a reporting mark used by the Union Pacific Railroad to identify certain passenger cars and related rolling stock in its fleet.
  • B. UHWW
    UHWW is the ICAO airport code assigned to Vladivostok International Airport in Russia.
  • C. UHHH
    UHHH is the ICAO airport code for Khabarovsk Novy Airport in Khabarovsk, Russia.
  • D. HUP
    HUP is a major academic medical center in Philadelphia that serves as the flagship teaching hospital of the University of Pennsylvania's health system.
  • E. HUP
    HUP is the commonly used abbreviation for Harvard University Press, a major academic publishing house affiliated with Harvard University.
  • 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: UHPP
Triple: [Petropavlovsk-Kamchatsky Airport, ICAOcode, UHPP]
Generated description
UHPP is the ICAO airport code for Petropavlovsk-Kamchatsky Airport, a major air gateway on Russia’s Kamchatka Peninsula.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UHPP
Target entity description: UHPP is the ICAO airport code for Petropavlovsk-Kamchatsky Airport, a major air gateway on Russia’s Kamchatka Peninsula.
  • A. UPP
    UPP is a reporting mark used by the Union Pacific Railroad to identify certain passenger cars and related rolling stock in its fleet.
  • B. UHWW
    UHWW is the ICAO airport code assigned to Vladivostok International Airport in Russia.
  • C. UHHH
    UHHH is the ICAO airport code for Khabarovsk Novy Airport in Khabarovsk, Russia.
  • D. HUP
    HUP is a major academic medical center in Philadelphia that serves as the flagship teaching hospital of the University of Pennsylvania's health system.
  • E. HUP
    HUP is the commonly used abbreviation for Harvard University Press, a major academic publishing house affiliated with Harvard University.
  • 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_69c0087361a48190905c6b55969852b8 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f5159bc8190a988293bbbb99d24 completed March 22, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c108a17bc88190b710a1858120a32d completed March 23, 2026, 9:32 a.m.
NEDg Description generation batch_69c1099f00f88190a5f1f0fafbb679c2 completed March 23, 2026, 9:36 a.m.
NED2 Entity disambiguation (via description) batch_69c10a2ffdcc8190bfeebc59d98b2b29 completed March 23, 2026, 9:38 a.m.
Created at: March 22, 2026, 4:06 p.m.