Triple

T3560909
Position Surface form Disambiguated ID Type / Status
Subject Northwestern FD E75334 entity
Predicate hasAbbreviation P43 FINISHED
Object SZFO
SZFO is the commonly used abbreviation for the Northwestern Federal District, an administrative region of the Russian Federation.
 E369039 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: SZFO | Statement: [Northwestern FD, hasAbbreviation, SZFO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SZFO
Context triple: [Northwestern FD, hasAbbreviation, SZFO]
  • A. ZSFG
    ZSFG is a major public hospital and Level I trauma center serving San Francisco, known for providing comprehensive emergency, inpatient, and outpatient medical care.
  • B. SZ
    SZ is the vehicle registration code for the German city of Salzgitter in Lower Saxony.
  • C. ZF
    ZF is the standard axiomatic framework for set theory that underpins much of modern mathematics.
  • D. GFSZA
    GFSZA is a U.S. federal law that prohibits unauthorized individuals from knowingly possessing firearms in school zones.
  • E. ZS
    ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
  • 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: SZFO
Triple: [Northwestern FD, hasAbbreviation, SZFO]
Generated description
SZFO is the commonly used abbreviation for the Northwestern Federal District, an administrative region of the Russian Federation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SZFO
Target entity description: SZFO is the commonly used abbreviation for the Northwestern Federal District, an administrative region of the Russian Federation.
  • A. ZSFG
    ZSFG is a major public hospital and Level I trauma center serving San Francisco, known for providing comprehensive emergency, inpatient, and outpatient medical care.
  • B. SZ
    SZ is the vehicle registration code for the German city of Salzgitter in Lower Saxony.
  • C. ZF
    ZF is the standard axiomatic framework for set theory that underpins much of modern mathematics.
  • D. GFSZA
    GFSZA is a U.S. federal law that prohibits unauthorized individuals from knowingly possessing firearms in school zones.
  • E. ZS
    ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
  • 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_69ad85d45090819086f34fb85d850a1e completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc08ac1b0819082021ecdd0061dc3 completed March 8, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bba21960819094676de7c4740fd9 completed March 13, 2026, 7:24 a.m.
NEDg Description generation batch_69b3bf69741481909e3d5ed71bb0e026 completed March 13, 2026, 7:40 a.m.
NED2 Entity disambiguation (via description) batch_69b3f299cfd08190948e602e8efab213 completed March 13, 2026, 11:18 a.m.
Created at: March 8, 2026, 3:21 p.m.