Triple

T9217068
Position Surface form Disambiguated ID Type / Status
Subject LADOT Transit E221267 entity
Predicate hasService P182 FINISHED
Object LAnow
LAnow is an on-demand, shared-ride neighborhood transit service operated by LADOT Transit in Los Angeles.
E785611 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: LAnow | Statement: [LADOT Transit, hasService, LAnow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LAnow
Context triple: [LADOT Transit, hasService, LAnow]
  • A. Lasne
    Lasne is a picturesque, affluent municipality in Walloon Brabant, Belgium, known for its rural character and high quality of life.
  • B. Lavant
    Lavant is a notable high-speed corner on the historic Goodwood Motor Circuit in West Sussex, England.
  • C. Laus
    Laus was an ancient Greek colony in southern Italy, founded by settlers from the wealthy city of Sybaris.
  • D. Laja
    Laja is a small Chilean city in the Biobío Region, known for its riverside setting and proximity to the Biobío River.
  • E. Nowra
    Nowra is a regional town in New South Wales, Australia, situated on the Shoalhaven River and serving as a commercial and administrative centre for the surrounding South Coast area.
  • 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: LAnow
Triple: [LADOT Transit, hasService, LAnow]
Generated description
LAnow is an on-demand, shared-ride neighborhood transit service operated by LADOT Transit in Los Angeles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LAnow
Target entity description: LAnow is an on-demand, shared-ride neighborhood transit service operated by LADOT Transit in Los Angeles.
  • A. Lasne
    Lasne is a picturesque, affluent municipality in Walloon Brabant, Belgium, known for its rural character and high quality of life.
  • B. Lavant
    Lavant is a notable high-speed corner on the historic Goodwood Motor Circuit in West Sussex, England.
  • C. Laus
    Laus was an ancient Greek colony in southern Italy, founded by settlers from the wealthy city of Sybaris.
  • D. Laja
    Laja is a small Chilean city in the Biobío Region, known for its riverside setting and proximity to the Biobío River.
  • E. Nowra
    Nowra is a regional town in New South Wales, Australia, situated on the Shoalhaven River and serving as a commercial and administrative centre for the surrounding South Coast area.
  • 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_69ca83eae42c8190a0ea9e040710a277 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda0ae3d081908ff3f5dab52df5ae completed April 1, 2026, 8:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0661c4c2c8190bc5be991a3a75f2b completed April 4, 2026, 1:15 a.m.
NEDg Description generation batch_69d0678b89ac8190b807e1c3b457a503 completed April 4, 2026, 1:21 a.m.
NED2 Entity disambiguation (via description) batch_69d0688d4c388190bb024b03cc86d08f completed April 4, 2026, 1:25 a.m.
Created at: March 30, 2026, 7:27 p.m.