Triple

T24157793
Position Surface form Disambiguated ID Type / Status
Subject Webster, Massachusetts E598735 entity
Predicate hasLakeAlsoKnownAs P137822 FINISHED
Object Webster Lake
Webster Lake is a large, recreational freshwater lake in Webster, Massachusetts, noted for its famously long Native American name and popular boating and fishing activities.
 E2295127 NE FINISHED

How this triple was built (3 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: Webster Lake | Statement: [Webster, Massachusetts, hasLakeAlsoKnownAs, Webster Lake]
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: Webster Lake
Triple: [Webster, Massachusetts, hasLakeAlsoKnownAs, Webster Lake]
Generated description
Webster Lake is a large, recreational freshwater lake in Webster, Massachusetts, noted for its famously long Native American name and popular boating and fishing activities.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasLakeAlsoKnownAs
Context triple: [Webster, Massachusetts, hasLakeAlsoKnownAs, Webster Lake]
  • A. hasLakeThatRepresents
    Indicates a relationship where a lake serves as a symbolic or representative feature for something, such as a place, concept, or entity.
  • B. hasLakeName
    Indicates that an entity (such as a lake or related feature) bears or is associated with a specific lake name.
  • C. lakeAlternateName chosen
    Indicates that a lake is known by an alternative or additional name.
  • D. mouthLake
    Indicates the location where a river or stream flows into and forms part of a lake.
  • E. hasLakes
    Indicates that one entity possesses, contains, or is characterized by the presence of one or more lakes.
  • F. None of above.

Provenance (6 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_69e288cb0a3081909ef221744f274384 completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1e0e6d9fc8190a296f4f2b6d0d5e1 completed April 29, 2026, 10:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a7d0d0132c081909e25f11ac8b41ffa completed Aug. 13, 2026, 12:17 a.m.
NEDg Description generation batch_6a7d0d56053c8190879cd567d6053088 completed Aug. 13, 2026, 12:18 a.m.
NED2 Entity disambiguation (via description) batch_6a7d0d8ab98881909568c3b77e6f8e43 completed Aug. 13, 2026, 12:19 a.m.
PD Predicate disambiguation batch_69f176585f3481909beb907de252cd98 completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 11:31 p.m.