Triple

T15589581
Position Surface form Disambiguated ID Type / Status
Subject Federal Office for Housing E374707 entity
Predicate abbreviation P43 FINISHED
Object OFLP
OFLP is the abbreviation for the Swiss Federal Office for Housing, the national authority responsible for housing policy and related regulatory matters in Switzerland.
 E1167312 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: OFLP | Statement: [Federal Office for Housing, abbreviation, OFLP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OFLP
Context triple: [Federal Office for Housing, abbreviation, OFLP]
  • A. OFL
    OFL is the abbreviation for the Swiss Federal Office for Housing, the national authority responsible for housing policy and related regulations in Switzerland.
  • B. LFL
    LFL is the Legends Football League, a women's American football league featuring teams such as the Chicago Bliss.
  • C. LFL
    LFL is the former New York Stock Exchange ticker symbol for LAN Airlines, a major Chilean airline that later became part of LATAM Airlines Group.
  • D. OFC
    OFC is the Oceania Football Confederation, the governing body for association football in the Oceania region and one of FIFA’s six continental confederations.
  • E. OFC
    OFC is a leading international conference and exhibition focused on optical fiber communication and networking technologies.
  • 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: OFLP
Triple: [Federal Office for Housing, abbreviation, OFLP]
Generated description
OFLP is the abbreviation for the Swiss Federal Office for Housing, the national authority responsible for housing policy and related regulatory matters in Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OFLP
Target entity description: OFLP is the abbreviation for the Swiss Federal Office for Housing, the national authority responsible for housing policy and related regulatory matters in Switzerland.
  • A. OFL
    OFL is the abbreviation for the Swiss Federal Office for Housing, the national authority responsible for housing policy and related regulations in Switzerland.
  • B. LFL
    LFL is the Legends Football League, a women's American football league featuring teams such as the Chicago Bliss.
  • C. LFL
    LFL is the former New York Stock Exchange ticker symbol for LAN Airlines, a major Chilean airline that later became part of LATAM Airlines Group.
  • D. OFC
    OFC is the Oceania Football Confederation, the governing body for association football in the Oceania region and one of FIFA’s six continental confederations.
  • E. OFC
    OFC is a leading international conference and exhibition focused on optical fiber communication and networking technologies.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e4a19708190936118d569f3436d completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56c5baac819099d53896f6a35d94 completed May 9, 2026, 3:46 p.m.
NEDg Description generation batch_69ff5ac2aa188190804f801497ca16df completed May 9, 2026, 4:03 p.m.
NED2 Entity disambiguation (via description) batch_69ff5b211a7881908b82be108dd76122 completed May 9, 2026, 4:04 p.m.
Created at: April 10, 2026, 4:11 a.m.