Triple

T38447
Position Surface form Disambiguated ID Type / Status
Subject MBTA Red Line E761 entity
Predicate servesStation P839 FINISHED
Object Davis
Davis is an underground rapid transit station in Somerville, Massachusetts, on Boston’s MBTA Red Line.
 E11304 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: Davis | Statement: [MBTA Red Line, servesStation, Davis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Davis
Context triple: [MBTA Red Line, servesStation, Davis]
  • A. Howard
    Howard is the middle name of Edwin H. Armstrong, the pioneering American electrical engineer and inventor of FM radio.
  • B. Hamilton
    Hamilton is the small, bustling port city that serves as the commercial and cultural hub of Bermuda.
  • C. Wilson
    Wilson is a common English-language surname borne by numerous notable figures across fields such as science, politics, sports, and the arts.
  • D. Franklin
    Franklin is the given name of Franklin D. Roosevelt, the 32nd president of the United States who led the country through the Great Depression and World War II.
  • E. Douglas
    Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • 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: Davis
Triple: [MBTA Red Line, servesStation, Davis]
Generated description
Davis is an underground rapid transit station in Somerville, Massachusetts, on Boston’s MBTA Red Line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Davis
Target entity description: Davis is an underground rapid transit station in Somerville, Massachusetts, on Boston’s MBTA Red Line.
  • A. Howard
    Howard is the middle name of Edwin H. Armstrong, the pioneering American electrical engineer and inventor of FM radio.
  • B. Hamilton
    Hamilton is the small, bustling port city that serves as the commercial and cultural hub of Bermuda.
  • C. Wilson
    Wilson is a common English-language surname borne by numerous notable figures across fields such as science, politics, sports, and the arts.
  • D. Franklin
    Franklin is the given name of Franklin D. Roosevelt, the 32nd president of the United States who led the country through the Great Depression and World War II.
  • E. Douglas
    Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24ec1ef5481909daf99654dfa3f57 completed Feb. 28, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a27bfc4004819082a8e0a7885865e1 completed Feb. 28, 2026, 5:24 a.m.
NEDg Description generation batch_69a27cb6cee48190a5a75dc88a63d9b2 completed Feb. 28, 2026, 5:27 a.m.
NED2 Entity disambiguation (via description) batch_69a27d41912c819091823b35751380be completed Feb. 28, 2026, 5:29 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.