Triple

T19780227
Position Surface form Disambiguated ID Type / Status
Subject East Bay Municipal Utility District E475111 entity
Predicate alsoKnownAs P39 FINISHED
Object EBMUD
EBMUD is a public utility agency that provides water and wastewater services to communities in California’s San Francisco Bay Area, primarily in the East Bay region.
 E1394960 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: EBMUD | Statement: [East Bay Municipal Utility District, alsoKnownAs, EBMUD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EBMUD
Context triple: [East Bay Municipal Utility District, alsoKnownAs, EBMUD]
  • A. İZSU Water Utility
    İZSU Water Utility is the public water and wastewater management authority serving the city and metropolitan area of İzmir, Turkey.
  • B. Bowmont Water
    Bowmont Water is a river in the Scottish Borders and Northumberland that flows through rural valleys before joining the River Till.
  • C. EBBL
    EBBL is the ICAO airport code for Kleine-Brogel Air Base, a military airfield in Belgium.
  • D. Fordwater
    Fordwater is a fast, sweeping right-hand bend on the historic Goodwood Motor Circuit in West Sussex, England.
  • E. EKB
    EKB is the National Rail station code for Eskbank railway station in Midlothian, Scotland.
  • 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: EBMUD
Triple: [East Bay Municipal Utility District, alsoKnownAs, EBMUD]
Generated description
EBMUD is a public utility agency that provides water and wastewater services to communities in California’s San Francisco Bay Area, primarily in the East Bay region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EBMUD
Target entity description: EBMUD is a public utility agency that provides water and wastewater services to communities in California’s San Francisco Bay Area, primarily in the East Bay region.
  • A. İZSU Water Utility
    İZSU Water Utility is the public water and wastewater management authority serving the city and metropolitan area of İzmir, Turkey.
  • B. Bowmont Water
    Bowmont Water is a river in the Scottish Borders and Northumberland that flows through rural valleys before joining the River Till.
  • C. EBBL
    EBBL is the ICAO airport code for Kleine-Brogel Air Base, a military airfield in Belgium.
  • D. Fordwater
    Fordwater is a fast, sweeping right-hand bend on the historic Goodwood Motor Circuit in West Sussex, England.
  • E. EKB
    EKB is the National Rail station code for Eskbank railway station in Midlothian, Scotland.
  • 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65382ff308190832800dd60675f7a completed April 20, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07bd7ac0b48190bc331db6689f7b54 completed May 16, 2026, 12:42 a.m.
NEDg Description generation batch_6a07be450e608190a008095b0502b2d3 completed May 16, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_6a07bed4c8d8819094fafce7eee69ee7 completed May 16, 2026, 12:48 a.m.
Created at: April 10, 2026, 1:49 p.m.