Triple

T12181696
Position Surface form Disambiguated ID Type / Status
Subject Tampere–Pirkkala Airport E290234 entity
Predicate IATAcode P418 FINISHED
Object TMP
TMP is the IATA airport code for Tampere–Pirkkala Airport in Tampere, Finland.
 E968310 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: TMP | Statement: [Tampere–Pirkkala Airport, IATAcode, TMP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TMP
Context triple: [Tampere–Pirkkala Airport, IATAcode, TMP]
  • A. TM
    TM is the New York Stock Exchange ticker symbol for Toyota Motor Corporation, the Japanese multinational automotive manufacturer.
  • B. .tm
    .tm is the country code top-level domain (ccTLD) assigned to Turkmenistan, also popularly used worldwide for websites related to trademarks.
  • C. TMPD
    TMPD is the acronym for the Tokyo Metropolitan Police Department, the primary law enforcement agency responsible for policing Japan’s capital city and surrounding metropolitan area.
  • D. TP
    TP is the two-letter IATA airline designator used to identify TAP Air Portugal on tickets, timetables, and flight information systems.
  • E. Tem
    Tem is a Gur language spoken primarily in Togo and neighboring regions of West Africa.
  • 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: TMP
Triple: [Tampere–Pirkkala Airport, IATAcode, TMP]
Generated description
TMP is the IATA airport code for Tampere–Pirkkala Airport in Tampere, Finland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TMP
Target entity description: TMP is the IATA airport code for Tampere–Pirkkala Airport in Tampere, Finland.
  • A. TM
    TM is the New York Stock Exchange ticker symbol for Toyota Motor Corporation, the Japanese multinational automotive manufacturer.
  • B. .tm
    .tm is the country code top-level domain (ccTLD) assigned to Turkmenistan, also popularly used worldwide for websites related to trademarks.
  • C. TMPD
    TMPD is the acronym for the Tokyo Metropolitan Police Department, the primary law enforcement agency responsible for policing Japan’s capital city and surrounding metropolitan area.
  • D. TP
    TP is the two-letter IATA airline designator used to identify TAP Air Portugal on tickets, timetables, and flight information systems.
  • E. Tem
    Tem is an ancient Egyptian creator god, often regarded as a form or aspect of Atum associated with the setting sun and the completion of creation.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d915fd8dac8190928059ad2b6bbbf3 completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6acee6481908ee4129956c98c52 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f6022ecf38819080f0eb6a3a815c5b completed May 2, 2026, 1:54 p.m.
NED2 Entity disambiguation (via description) batch_69f606560934819092ba4d4fa162b799 completed May 2, 2026, 2:12 p.m.
Created at: April 8, 2026, 9:50 p.m.