Triple

T23460743
Position Surface form Disambiguated ID Type / Status
Subject Patriotic Front E568966 entity
Predicate shortName P43 FINISHED
Object PF
PF is the commonly used abbreviation for the Patriotic Front, a political party best known for its prominence in Zambian politics.
 E1589377 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: PF | Statement: [Patriotic Front, shortName, PF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PF
Context triple: [Patriotic Front, shortName, PF]
  • A. PF
    PF is the vehicle registration code used on license plates for the German city of Pforzheim.
  • B. PF
    PF is the abbreviation for the Mexican Federal Police, the former national law enforcement agency responsible for federal policing and public security in Mexico.
  • C. PF
    PF is the Federal Police of Brazil, the national law enforcement agency responsible for investigating federal crimes, border control, and immigration.
  • D. FP
    FP is the Euronext Paris stock ticker symbol for Total S.A., the French multinational integrated oil and gas company.
  • E. FP
    FP is the station code for Fehrbelliner Platz, a public transit station in Berlin, Germany.
  • 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: PF
Triple: [Patriotic Front, shortName, PF]
Generated description
PF is the commonly used abbreviation for the Patriotic Front, a political party best known for its prominence in Zambian politics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PF
Target entity description: PF is the commonly used abbreviation for the Patriotic Front, a political party best known for its prominence in Zambian politics.
  • A. PF
    PF is the vehicle registration code used on license plates for the German city of Pforzheim.
  • B. PF
    PF is the abbreviation for the Mexican Federal Police, the former national law enforcement agency responsible for federal policing and public security in Mexico.
  • C. PF
    PF is the Federal Police of Brazil, the national law enforcement agency responsible for investigating federal crimes, border control, and immigration.
  • D. FP
    FP is the station code for Fehrbelliner Platz, a public transit station in Berlin, Germany.
  • E. FP
    FP is the Euronext Paris stock ticker symbol for Total S.A., the French multinational integrated oil and gas company.
  • 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_69e2458ebd808190b3298163132cfb0b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a69afba88190b1b1dd27d331309f completed April 29, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c825113588190a251450dc28f737b completed May 19, 2026, 3:31 p.m.
NEDg Description generation batch_6a0ca6eee2f48190b4e03039c4c96abe completed May 19, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0ca80db6288190ae99313c1f2485db completed May 19, 2026, 6:12 p.m.
Created at: April 17, 2026, 5:53 p.m.