Triple

T2460035
Position Surface form Disambiguated ID Type / Status
Subject Salsette Island E54511 entity
Predicate contains P35 FINISHED
Object Tulsi Lake
Tulsi Lake is a freshwater reservoir on Salsette Island in Mumbai, India, that serves as one of the city's important sources of drinking water.
 E268101 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: Tulsi Lake | Statement: [Salsette Island, contains, Tulsi Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tulsi Lake
Context triple: [Salsette Island, contains, Tulsi Lake]
  • A. Marla
    Marla is a feminine given name most notably borne by American actress and television personality Marla Maples.
  • B. Alice Wyth Lake
    Alice Wyth Lake is a recreational lake in Iowa known for activities like fishing, boating, and wildlife viewing within George Wyth State Park.
  • C. Verna
    Verna is a feminine given name that gained particular recognition through film editor Verna Fields, known for her work on movies like "Jaws."
  • D. Silver Lake
    Silver Lake is a trendy, historically bohemian neighborhood in central Los Angeles known for its reservoir, hillside homes, and vibrant arts, dining, and nightlife scenes.
  • E. Silver Lake
    Silver Lake is a scenic body of water within Lynn Woods Reservation in Lynn, Massachusetts, popular for its natural beauty and outdoor recreation.
  • 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: Tulsi Lake
Triple: [Salsette Island, contains, Tulsi Lake]
Generated description
Tulsi Lake is a freshwater reservoir on Salsette Island in Mumbai, India, that serves as one of the city's important sources of drinking water.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tulsi Lake
Target entity description: Tulsi Lake is a freshwater reservoir on Salsette Island in Mumbai, India, that serves as one of the city's important sources of drinking water.
  • A. Marla
    Marla is a feminine given name most notably borne by American actress and television personality Marla Maples.
  • B. Alice Wyth Lake
    Alice Wyth Lake is a recreational lake in Iowa known for activities like fishing, boating, and wildlife viewing within George Wyth State Park.
  • C. Verna
    Verna is a feminine given name that gained particular recognition through film editor Verna Fields, known for her work on movies like "Jaws."
  • D. Silver Lake
    Silver Lake is a scenic body of water within Lynn Woods Reservation in Lynn, Massachusetts, popular for its natural beauty and outdoor recreation.
  • E. Silver Lake
    Silver Lake is a scenic recreational lake located within Blackwell Forest Preserve in DuPage County, Illinois.
  • 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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd10ba66481909580e994b22fd406 completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0cff4248190832f75ce36a357e2 completed March 9, 2026, 4:09 p.m.
NEDg Description generation batch_69aef186935c81909301659a96e1a4e2 completed March 9, 2026, 4:12 p.m.
NED2 Entity disambiguation (via description) batch_69aef8272668819084626e890a49e1b3 completed March 9, 2026, 4:41 p.m.
Created at: March 6, 2026, 9:44 p.m.