Triple

T20055921
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Social Sciences, University of Latvia E499331 entity
Predicate abbreviation P43 FINISHED
Object SZF
SZF is the commonly used abbreviation for the Faculty of Social Sciences at the University of Latvia, encompassing disciplines such as sociology, communication, and political science.
 E1408532 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: SZF | Statement: [Faculty of Social Sciences, University of Latvia, abbreviation, SZF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SZF
Context triple: [Faculty of Social Sciences, University of Latvia, abbreviation, SZF]
  • A. SZF
    SZF is the IATA airport code for Samsun-Çarşamba Airport, a regional airport serving the city of Samsun in northern Turkey.
  • B. SZFO
    SZFO is the commonly used abbreviation for the Northwestern Federal District, an administrative region of the Russian Federation.
  • C. ZSFZ
    ZSFZ is the ICAO airport code for Fuzhou Changle International Airport, the main international airport serving Fuzhou in Fujian Province, China.
  • D. SZ
    SZ is the official station code used to identify the Berlin U-Bahn station Seestraße.
  • E. SZ
    SZ is the official abbreviation for the Swiss canton of Schwyz, one of the founding cantons of Switzerland.
  • 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: SZF
Triple: [Faculty of Social Sciences, University of Latvia, abbreviation, SZF]
Generated description
SZF is the commonly used abbreviation for the Faculty of Social Sciences at the University of Latvia, encompassing disciplines such as sociology, communication, and political science.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SZF
Target entity description: SZF is the commonly used abbreviation for the Faculty of Social Sciences at the University of Latvia, encompassing disciplines such as sociology, communication, and political science.
  • A. SZF
    SZF is the IATA airport code for Samsun-Çarşamba Airport, a regional airport serving the city of Samsun in northern Turkey.
  • B. SZFO
    SZFO is the commonly used abbreviation for the Northwestern Federal District, an administrative region of the Russian Federation.
  • C. ZSFZ
    ZSFZ is the ICAO airport code for Fuzhou Changle International Airport, the main international airport serving Fuzhou in Fujian Province, China.
  • D. SZ
    SZ is the official station code used to identify the Berlin U-Bahn station Seestraße.
  • E. SZ
    SZ is the official abbreviation for the Swiss canton of Schwyz, one of the founding cantons of Switzerland.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66332b300819097f5dca1636e5822 completed April 20, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08160c59948190acdef6a5ec275101 completed May 16, 2026, 7 a.m.
NEDg Description generation batch_6a0816d3c71081909138d3144a108266 completed May 16, 2026, 7:03 a.m.
NED2 Entity disambiguation (via description) batch_6a08179df70c81908ea5bc596a8ba756 completed May 16, 2026, 7:07 a.m.
Created at: April 11, 2026, 3:38 p.m.