Triple

T6094139
Position Surface form Disambiguated ID Type / Status
Subject Odawara Station E135835 entity
Predicate hasStationNumber P1289 FINISHED
Object JT16
JT16 is the station code assigned to Odawara Station on Japan’s JR East railway network.
 E568408 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: JT16 | Statement: [Odawara Station, hasStationNumber, JT16]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JT16
Context triple: [Odawara Station, hasStationNumber, JT16]
  • A. J150
    J150 is the fifth-generation Toyota Land Cruiser Prado series, a mid-size SUV platform known for its off-road capability and global popularity.
  • B. TJT
    TJT is the time zone used in Tajikistan, corresponding to Tajikistan Time (UTC+5).
  • C. JT
    JT is a 1977 studio album by American singer-songwriter James Taylor that marked his commercial resurgence with hits like "Handy Man" and "Your Smiling Face."
  • D. J100
    J100 is the internal model code used by Lexus to designate the second generation of its full-size luxury SUV, the Lexus LX.
  • E. J6
    J6 is the U.S. military staff directorate responsible for command, control, communications, and computer systems that enable joint operations.
  • 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: JT16
Triple: [Odawara Station, hasStationNumber, JT16]
Generated description
JT16 is the station code assigned to Odawara Station on Japan’s JR East railway network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JT16
Target entity description: JT16 is the station code assigned to Odawara Station on Japan’s JR East railway network.
  • A. J150
    J150 is the fifth-generation Toyota Land Cruiser Prado series, a mid-size SUV platform known for its off-road capability and global popularity.
  • B. TJT
    TJT is the time zone used in Tajikistan, corresponding to Tajikistan Time (UTC+5).
  • C. JT
    JT is a 1977 studio album by American singer-songwriter James Taylor that marked his commercial resurgence with hits like "Handy Man" and "Your Smiling Face."
  • D. J100
    J100 is the internal model code used by Lexus to designate the second generation of its full-size luxury SUV, the Lexus LX.
  • E. J6
    J6 is the U.S. military staff directorate responsible for command, control, communications, and computer systems that enable joint operations.
  • 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_69c0087cd3c48190b459848c72d84eb1 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05a9516ec819093e94ee8d3244e1b completed March 22, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1253b2cb48190be682e9184cf4f5d completed March 23, 2026, 11:34 a.m.
NEDg Description generation batch_69c126ee1d408190b8efa4a8d5b658e0 completed March 23, 2026, 11:41 a.m.
NED2 Entity disambiguation (via description) batch_69c12787753c8190ab6c49ebd0dcac41 completed March 23, 2026, 11:44 a.m.
Created at: March 22, 2026, 4:12 p.m.