Triple

T7542011
Position Surface form Disambiguated ID Type / Status
Subject Omnitrans E178300 entity
Predicate hasServiceBrand P1500 FINISHED
Object sbX
sbX is a branded bus rapid transit service operated by Omnitrans in Southern California’s Inland Empire region.
 E672149 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: sbX | Statement: [Omnitrans, hasServiceBrand, sbX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: sbX
Context triple: [Omnitrans, hasServiceBrand, sbX]
  • A. SXB
    SXB is the IATA airport code for Strasbourg Airport, the main international airport serving Strasbourg in northeastern France.
  • B. SB
    SB is the vehicle registration code used on license plates for cars registered in the city of Bielsko-Biała in southern Poland.
  • C. SB
    SB is the abbreviated name for the School of Basic Sciences, an academic unit focused on foundational scientific disciplines.
  • D. SB
    SB was the communist-era secret police and intelligence service of the Polish People's Republic, known for surveillance, repression, and political control.
  • E. .sx
    .sx is the country code top-level domain (ccTLD) assigned to Sint Maarten in the Caribbean.
  • 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: sbX
Triple: [Omnitrans, hasServiceBrand, sbX]
Generated description
sbX is a branded bus rapid transit service operated by Omnitrans in Southern California’s Inland Empire region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: sbX
Target entity description: sbX is a branded bus rapid transit service operated by Omnitrans in Southern California’s Inland Empire region.
  • A. SXB
    SXB is the IATA airport code for Strasbourg Airport, the main international airport serving Strasbourg in northeastern France.
  • B. SB
    SB is the abbreviated name for the School of Basic Sciences, an academic unit focused on foundational scientific disciplines.
  • C. SB
    SB is the vehicle registration code used on license plates for cars registered in the city of Bielsko-Biała in southern Poland.
  • D. SB
    SB was the communist-era secret police and intelligence service of the Polish People's Republic, known for surveillance, repression, and political control.
  • E. .sx
    .sx is the country code top-level domain (ccTLD) assigned to Sint Maarten in the Caribbean.
  • 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_69c69f2be3888190a6667a27f8f195e9 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8750f80819088ddfb7a5580b5df completed March 27, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f18e4dc81909ecd73b2b06b8d9c completed March 28, 2026, 9:58 p.m.
NEDg Description generation batch_69c853bc094c8190ba4e7ecb069c2c02 completed March 28, 2026, 10:18 p.m.
NED2 Entity disambiguation (via description) batch_69c85412e6308190893a500e2395bd94 completed March 28, 2026, 10:20 p.m.
Created at: March 27, 2026, 3:48 p.m.