Triple

T22806616
Position Surface form Disambiguated ID Type / Status
Subject Forchbahn E564552 entity
Predicate hasAbbreviation P43 FINISHED
Object FB
FB is the abbreviation for the Forchbahn, a Swiss suburban railway line connecting Zurich with the Forch region.
E1555313 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: FB | Statement: [Forchbahn, hasAbbreviation, FB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FB
Context triple: [Forchbahn, hasAbbreviation, FB]
  • A. FB
    FB is the common abbreviation for Fenerbahçe SK, one of Turkey’s most prominent multi-sport clubs best known for its successful football team based in Istanbul.
  • B. FB
    FB is the vehicle registration code used on license plates for the district of Friedberg in the German state of Hesse.
  • C. FB
    FB is the internal chassis code used by Mazda to designate the first-generation RX-7 sports car.
  • D. Facebook
    Facebook is a major global social networking platform that allows users to connect, share content, and communicate online.
  • E. Facebook MPK21
    Facebook MPK21 is a large, Frank Gehry–designed office building on Meta’s Menlo Park campus that serves as one of the company’s primary headquarters spaces.
  • 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: FB
Triple: [Forchbahn, hasAbbreviation, FB]
Generated description
FB is the abbreviation for the Forchbahn, a Swiss suburban railway line connecting Zurich with the Forch region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: FB
Target entity description: FB is the abbreviation for the Forchbahn, a Swiss suburban railway line connecting Zurich with the Forch region.
  • A. FB
    FB is the common abbreviation for Fenerbahçe SK, one of Turkey’s most prominent multi-sport clubs best known for its successful football team based in Istanbul.
  • B. FB
    FB is the vehicle registration code used on license plates for the district of Friedberg in the German state of Hesse.
  • C. FB
    FB is the internal chassis code used by Mazda to designate the first-generation RX-7 sports car.
  • D. Facebook
    Facebook is a major global social networking platform that allows users to connect, share content, and communicate online.
  • E. Facebook MPK21
    Facebook MPK21 is a large, Frank Gehry–designed office building on Meta’s Menlo Park campus that serves as one of the company’s primary headquarters spaces.
  • 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_69e245823f4c8190ade442cdcc2c224a completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17d5c193481908550993e2547515d completed April 29, 2026, 3:39 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b9e9dbb3881909f6fa69466bf3eff completed May 18, 2026, 11:19 p.m.
NEDg Description generation batch_6a0ba0853f7c8190ad9c85a927c3d7ba completed May 18, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_6a0ba0fa26488190b2246d85b9b5a7b5 completed May 18, 2026, 11:30 p.m.
Created at: April 17, 2026, 3:32 p.m.