Triple

T12618985
Position Surface form Disambiguated ID Type / Status
Subject Quinta Normal station E301329 entity
Predicate hasStationCode P1289 FINISHED
Object QN
QN is the station code identifying Quinta Normal station in the Santiago Metro system.
 E992139 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: QN | Statement: [Quinta Normal station, hasStationCode, QN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: QN
Context triple: [Quinta Normal station, hasStationCode, QN]
  • A. NQ
    NQ is the station code for North Quincy, a Massachusetts Bay Transportation Authority (MBTA) Red Line rapid transit station in Quincy, Massachusetts.
  • B. NQU
    NQU is the National Rail station code for North Queensferry railway station in Fife, Scotland.
  • C. QR
    QR is the two-letter IATA airline designator assigned to Qatar Airways, the flag carrier of Qatar.
  • D. QU
    QU is a common abbreviation for Queen's University at Kingston, a major public research university in Kingston, Ontario, Canada.
  • E. Qu
    Qu is a Chinese surname shared by various notable figures in politics, science, and the arts.
  • 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: QN
Triple: [Quinta Normal station, hasStationCode, QN]
Generated description
QN is the station code identifying Quinta Normal station in the Santiago Metro system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: QN
Target entity description: QN is the station code identifying Quinta Normal station in the Santiago Metro system.
  • A. NQ
    NQ is the station code for North Quincy, a Massachusetts Bay Transportation Authority (MBTA) Red Line rapid transit station in Quincy, Massachusetts.
  • B. NQU
    NQU is the National Rail station code for North Queensferry railway station in Fife, Scotland.
  • C. QR
    QR is the two-letter IATA airline designator assigned to Qatar Airways, the flag carrier of Qatar.
  • D. QU
    QU is a common abbreviation for Queen's University at Kingston, a major public research university in Kingston, Ontario, Canada.
  • E. Qu
    Qu is a Chinese surname shared by various notable figures in politics, science, and the arts.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d960c75c9c819092265ebc2b39f21d completed April 10, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ed507988190b9d46586f3c3584c completed May 2, 2026, 8:30 p.m.
NEDg Description generation batch_69f65fb03b248190b264230b84b17635 completed May 2, 2026, 8:33 p.m.
NED2 Entity disambiguation (via description) batch_69f6608ec32c8190803c6f5677c300d6 completed May 2, 2026, 8:37 p.m.
Created at: April 9, 2026, 5:13 p.m.