Triple

T14792899
Position Surface form Disambiguated ID Type / Status
Subject Friedberg, Hesse E347700 entity
Predicate hasVehicleRegistrationCode P1173 FINISHED
Object FB
FB is the vehicle registration code used on license plates for the district of Friedberg in the German state of Hesse.
 E1119895 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: [Friedberg, Hesse, hasVehicleRegistrationCode, FB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FB
Context triple: [Friedberg, Hesse, hasVehicleRegistrationCode, 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. Facebook
    Facebook is a major global social networking platform that allows users to connect, share content, and communicate online.
  • C. 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.
  • D. FBB
    FBB is the operating company responsible for managing Berlin Brandenburg Airport and related airport facilities in the Berlin region.
  • E. Facebook Portal
    Facebook Portal is a line of smart video-calling devices developed by Meta (formerly Facebook), designed to facilitate hands-free, AI-enhanced communication in the home.
  • 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: [Friedberg, Hesse, hasVehicleRegistrationCode, FB]
Generated description
FB is the vehicle registration code used on license plates for the district of Friedberg in the German state of Hesse.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FB
Target entity description: FB is the vehicle registration code used on license plates for the district of Friedberg in the German state of Hesse.
  • 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. Facebook
    Facebook is a major global social networking platform that allows users to connect, share content, and communicate online.
  • C. 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.
  • D. FBB
    FBB is the operating company responsible for managing Berlin Brandenburg Airport and related airport facilities in the Berlin region.
  • E. Facebook Portal
    Facebook Portal is a line of smart video-calling devices developed by Meta (formerly Facebook), designed to facilitate hands-free, AI-enhanced communication in the home.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decd5ec43c8190ad7a10a556519bb0 completed April 14, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24bea4408190975f4856cc02580e completed May 8, 2026, 6 p.m.
NEDg Description generation batch_69fe25969218819090f5a6fa9b8dcbae completed May 8, 2026, 6:04 p.m.
NED2 Entity disambiguation (via description) batch_69fe2616fc688190a126dab0cb1b1892 completed May 8, 2026, 6:06 p.m.
Created at: April 10, 2026, 1:31 a.m.