Triple

T5553167
Position Surface form Disambiguated ID Type / Status
Subject Ikebukuro Station E145574 entity
Predicate hasStationCode P1289 FINISHED
Object JA12
JA12 is the station code used on the JR lines to identify Ikebukuro Station in Tokyo, Japan.
 E536019 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: JA12 | Statement: [Ikebukuro Station, hasStationCode, JA12]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JA12
Context triple: [Ikebukuro Station, hasStationCode, JA12]
  • A. J120
    J120 is the fourth-generation Toyota Land Cruiser Prado series, a mid-size SUV platform produced in the early 2000s known for its off-road capability and global popularity.
  • B. NJ-12
    NJ-12 is a New Jersey congressional district represented in the U.S. House of Representatives, encompassing parts of central New Jersey including portions of Mercer, Middlesex, Somerset, and Union counties.
  • C. JA
    JA is the commonly used abbreviation for the Japan Academy, an organization that honors and promotes outstanding academic achievements in Japan.
  • D. JA
    JA is the IATA airline designator assigned to JetSMART, a South American low-cost carrier.
  • E. JAC
    JAC is the commonly used abbreviation for the Judicial Appointments Commission, the body responsible for selecting candidates for judicial office in England and Wales.
  • 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: JA12
Triple: [Ikebukuro Station, hasStationCode, JA12]
Generated description
JA12 is the station code used on the JR lines to identify Ikebukuro Station in Tokyo, Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JA12
Target entity description: JA12 is the station code used on the JR lines to identify Ikebukuro Station in Tokyo, Japan.
  • A. J120
    J120 is the fourth-generation Toyota Land Cruiser Prado series, a mid-size SUV platform produced in the early 2000s known for its off-road capability and global popularity.
  • B. NJ-12
    NJ-12 is a New Jersey congressional district represented in the U.S. House of Representatives, encompassing parts of central New Jersey including portions of Mercer, Middlesex, Somerset, and Union counties.
  • C. JA
    JA is the commonly used abbreviation for the Japan Academy, an organization that honors and promotes outstanding academic achievements in Japan.
  • D. JA
    JA is the IATA airline designator assigned to JetSMART, a South American low-cost carrier.
  • E. JAC
    JAC is the commonly used abbreviation for the Judicial Appointments Commission, the body responsible for selecting candidates for judicial office in England and Wales.
  • 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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01ff9c9c48190b5e587d58c6515d8 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04cfc6f808190a39c607f61dcfa32 completed March 22, 2026, 8:11 p.m.
NEDg Description generation batch_69c04e8422dc8190879ee52bd6850565 completed March 22, 2026, 8:18 p.m.
NED2 Entity disambiguation (via description) batch_69c04f3963888190b1c85b3bb9ff5d44 completed March 22, 2026, 8:21 p.m.
Created at: March 22, 2026, 3:35 p.m.