Triple

T5348538
Position Surface form Disambiguated ID Type / Status
Subject Langen (Hesse) E124114 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object OF
OF is the vehicle registration code used on license plates for vehicles registered in the Offenbach district in the German state of Hesse.
 E513678 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: OF | Statement: [Langen (Hesse), vehicleRegistrationCode, OF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OF
Context triple: [Langen (Hesse), vehicleRegistrationCode, OF]
  • A. OFR
    OFR is a U.S. Treasury Department bureau that collects and analyzes financial data to support oversight of the stability of the financial system.
  • B. OFU
    OFU is the IATA airport code for Ofu Airport, a small airfield serving the island of Ofu in American Samoa.
  • C. OFF
    OFF is the IATA airport code for Offutt Air Force Base, a major United States Air Force installation near Omaha, Nebraska.
  • D. O
    O is a renowned Cirque du Soleil aquatic-themed stage production in Las Vegas, celebrated for its elaborate water-based acrobatics and visual spectacle.
  • 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: OF
Triple: [Langen (Hesse), vehicleRegistrationCode, OF]
Generated description
OF is the vehicle registration code used on license plates for vehicles registered in the Offenbach district in the German state of Hesse.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OF
Target entity description: OF is the vehicle registration code used on license plates for vehicles registered in the Offenbach district in the German state of Hesse.
  • A. OFR
    OFR is a U.S. Treasury Department bureau that collects and analyzes financial data to support oversight of the stability of the financial system.
  • B. OFU
    OFU is the IATA airport code for Ofu Airport, a small airfield serving the island of Ofu in American Samoa.
  • C. OFF
    OFF is the IATA airport code for Offutt Air Force Base, a major United States Air Force installation near Omaha, Nebraska.
  • D. O
    O is a renowned Cirque du Soleil aquatic-themed stage production in Las Vegas, celebrated for its elaborate water-based acrobatics and visual spectacle.
  • 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_69bd464be27081908807b40b75c1bbae completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85ef75148190815461c2a49302e9 completed March 20, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21d0d4d08190a33c86553d2012fa completed March 21, 2026, 10:55 p.m.
NEDg Description generation batch_69bf232d7a888190878f7a3ce769dd83 completed March 21, 2026, 11:01 p.m.
NED2 Entity disambiguation (via description) batch_69bf23c3ad9c8190b84a31a4b8fe8fca completed March 21, 2026, 11:03 p.m.
Created at: March 20, 2026, 2:01 p.m.