Triple

T1884068
Position Surface form Disambiguated ID Type / Status
Subject Quincy Adams station E39919 entity
Predicate hasStationCode P1289 FINISHED
Object QA
QA is the station code for Quincy Adams, a Massachusetts Bay Transportation Authority (MBTA) rapid transit station on Boston’s Red Line.
 E209493 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: QA | Statement: [Quincy Adams station, hasStationCode, QA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: QA
Context triple: [Quincy Adams station, hasStationCode, QA]
  • A. QA
    QA is the two-letter ISO 3166-1 alpha-2 country code assigned to Qatar for international standardization and identification.
  • B. QC
    QC is a common abbreviation for Quezon City, a major urban center and former capital located in Metro Manila, Philippines.
  • C. Q’s
    Q’s is the nickname commonly used for the former American Basketball Association team the San Diego Conquistadors.
  • D. Q
    The Q is a New York City Subway service that runs along the BMT Broadway Line in Manhattan and the Brighton Line in Brooklyn, providing crosstown and interborough transit.
  • E. Q
    Q is a recurring comedic character from the James Bond film series, known as the eccentric head of MI6's gadget and technology division.
  • 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: QA
Triple: [Quincy Adams station, hasStationCode, QA]
Generated description
QA is the station code for Quincy Adams, a Massachusetts Bay Transportation Authority (MBTA) rapid transit station on Boston’s Red Line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: QA
Target entity description: QA is the station code for Quincy Adams, a Massachusetts Bay Transportation Authority (MBTA) rapid transit station on Boston’s Red Line.
  • A. QA
    QA is the two-letter ISO 3166-1 alpha-2 country code assigned to Qatar for international standardization and identification.
  • B. QC
    QC is a common abbreviation for Quezon City, a major urban center and former capital located in Metro Manila, Philippines.
  • C. Q’s
    Q’s is the nickname commonly used for the former American Basketball Association team the San Diego Conquistadors.
  • D. Q
    The Q is a New York City Subway service that runs along the BMT Broadway Line in Manhattan and the Brighton Line in Brooklyn, providing crosstown and interborough transit.
  • E. Q
    Q is a recurring comedic character from the James Bond film series, known as the eccentric head of MI6's gadget and technology division.
  • 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_69a88633e4fc8190b7eb40463e048ec5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb11d3cd48190bbd3ef2cf62e0dff completed March 7, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf61413081909c0e840590aaf631 completed March 8, 2026, 8:43 p.m.
NEDg Description generation batch_69addfcecdf48190a325eb5c8b10f238 completed March 8, 2026, 8:45 p.m.
NED2 Entity disambiguation (via description) batch_69ade0ba34ac8190ac94f7dbb5778f70 completed March 8, 2026, 8:48 p.m.
Created at: March 4, 2026, 7:34 p.m.