Triple

T1970484
Position Surface form Disambiguated ID Type / Status
Subject Starnberg E42787 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object STA
STA is the vehicle registration code for the district of Starnberg in Bavaria, Germany.
 E219463 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: STA | Statement: [Starnberg, vehicleRegistrationCode, STA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: STA
Context triple: [Starnberg, vehicleRegistrationCode, STA]
  • A. STM
    STM is the public transit agency serving the city of Montreal, operating its bus and metro networks.
  • B. ST
    ST is the common abbreviation for Sound Transit, the regional public transit agency serving the Seattle metropolitan area in Washington State.
  • C. ST
    ST is the commonly used abbreviation for SkyTeam, a major global airline alliance.
  • D. ST
    ST is the two-letter ISO 3166-1 alpha-2 country code representing São Tomé and Príncipe.
  • E. STE
    STE is the vehicle registration code assigned to the district of Lichtenfels in 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: STA
Triple: [Starnberg, vehicleRegistrationCode, STA]
Generated description
STA is the vehicle registration code for the district of Starnberg in Bavaria, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: STA
Target entity description: STA is the vehicle registration code for the district of Starnberg in Bavaria, Germany.
  • A. STM
    STM is the public transit agency serving the city of Montreal, operating its bus and metro networks.
  • B. ST
    ST is the common abbreviation for Sound Transit, the regional public transit agency serving the Seattle metropolitan area in Washington State.
  • C. ST
    ST is the commonly used abbreviation for SkyTeam, a major global airline alliance.
  • D. ST
    ST is the two-letter ISO 3166-1 alpha-2 country code representing São Tomé and Príncipe.
  • E. STE
    STE is the vehicle registration code assigned to the district of Lichtenfels in Germany.
  • 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_69a88711151c8190940b2572095059d7 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3d2836c8190a35cb6d8e2dd4bdf completed March 7, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbd9a2dc81909f86fdfa9c646dd0 completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfc6e40f081909682afd84f4e9338 completed March 8, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69adfd9fa4cc81909734a147626da4d1 completed March 8, 2026, 10:52 p.m.
Created at: March 4, 2026, 7:36 p.m.