Triple

T145774
Position Surface form Disambiguated ID Type / Status
Subject Alewife station E3325 entity
Predicate hasStationCode P1289 FINISHED
Object RALE
RALE is the station code for Alewife, the northern terminus of Boston’s MBTA Red Line rapid transit service.
 E17392 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: RALE | Statement: [Alewife station, hasStationCode, RALE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RALE
Context triple: [Alewife station, hasStationCode, RALE]
  • A. RAE
    RAE is the commonly used acronym for the Royal Spanish Academy, the official institution responsible for regulating and overseeing the Spanish language.
  • B. Lane
    Lane is a common English surname borne by numerous notable individuals across fields such as science, politics, and the arts.
  • C. AL
    AL is the common abbreviation for the American League, one of the two major professional baseball leagues that make up Major League Baseball in the United States and Canada.
  • D. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • E. El
    El is the common nickname for Philadelphia’s elevated Market–Frankford rapid transit line operated by SEPTA.
  • 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: RALE
Triple: [Alewife station, hasStationCode, RALE]
Generated description
RALE is the station code for Alewife, the northern terminus of Boston’s MBTA Red Line rapid transit service.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RALE
Target entity description: RALE is the station code for Alewife, the northern terminus of Boston’s MBTA Red Line rapid transit service.
  • A. RAE
    RAE is the commonly used acronym for the Royal Spanish Academy, the official institution responsible for regulating and overseeing the Spanish language.
  • B. Lane
    Lane is a common English surname borne by numerous notable individuals across fields such as science, politics, and the arts.
  • C. AL
    AL is the common abbreviation for the American League, one of the two major professional baseball leagues that make up Major League Baseball in the United States and Canada.
  • D. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • E. El
    El is the common nickname for Philadelphia’s elevated Market–Frankford rapid transit line operated by SEPTA.
  • 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_69a252868de4819080e21c9938bfe8b6 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a257ea7eac8190884a53453a9e0dd6 completed Feb. 28, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2c2763ce481908c12046de9003a84 completed Feb. 28, 2026, 10:24 a.m.
NEDg Description generation batch_69a2c2f02810819092e3263ac91b5fe3 completed Feb. 28, 2026, 10:26 a.m.
NED2 Entity disambiguation (via description) batch_69a2c369498481908c4213b04aea9c97 completed Feb. 28, 2026, 10:28 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.