Triple

T1828734
Position Surface form Disambiguated ID Type / Status
Subject Turkish Land Forces E40713 entity
Predicate shortName P43 FINISHED
Object TLF
TLF is the abbreviation commonly used for the Turkish Land Forces, the main ground warfare branch of Turkey’s military.
 E203378 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: TLF | Statement: [Turkish Land Forces, shortName, TLF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TLF
Context triple: [Turkish Land Forces, shortName, TLF]
  • A. LTFJ
    LTFJ is the ICAO airport code for Istanbul Sabiha Gökçen International Airport, a major international airport serving the Asian side of Istanbul, Turkey.
  • B. Tfng
    Tfng is the ISO 15924 four-letter code assigned to the Tifinagh script used for writing various Berber (Amazigh) languages.
  • C. TFI
    TFI is the commonly used abbreviation for the Federal Supreme Court of Switzerland, the country’s highest judicial authority.
  • D. TFI
    TFI is the World Health Organization’s Tobacco Free Initiative, a program dedicated to reducing global tobacco use and its health impacts.
  • E. LTFM
    LTFM is the ICAO airport code for Istanbul Airport, the main international airport serving Istanbul, Turkey.
  • 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: TLF
Triple: [Turkish Land Forces, shortName, TLF]
Generated description
TLF is the abbreviation commonly used for the Turkish Land Forces, the main ground warfare branch of Turkey’s military.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TLF
Target entity description: TLF is the abbreviation commonly used for the Turkish Land Forces, the main ground warfare branch of Turkey’s military.
  • A. LTFJ
    LTFJ is the ICAO airport code for Istanbul Sabiha Gökçen International Airport, a major international airport serving the Asian side of Istanbul, Turkey.
  • B. Tfng
    Tfng is the ISO 15924 four-letter code assigned to the Tifinagh script used for writing various Berber (Amazigh) languages.
  • C. TFI
    TFI is the commonly used abbreviation for the Federal Supreme Court of Switzerland, the country’s highest judicial authority.
  • D. TFI
    TFI is the World Health Organization’s Tobacco Free Initiative, a program dedicated to reducing global tobacco use and its health impacts.
  • E. LTFM
    LTFM is the ICAO airport code for Istanbul Airport, the main international airport serving Istanbul, Turkey.
  • 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_69a8864644bc8190b2358ab897194ac1 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb012e174819090c188e55a9812b4 completed March 7, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf6d49988190b8cb1773609a379b completed March 8, 2026, 6:26 p.m.
NEDg Description generation batch_69adc07fff60819092b10dd0e417ac5a completed March 8, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69adc0fd79c48190864f53a90517edc6 completed March 8, 2026, 6:33 p.m.
Created at: March 4, 2026, 7:32 p.m.