Triple

T7944832
Position Surface form Disambiguated ID Type / Status
Subject J1 League E184473 entity
Predicate abbreviation P43 FINISHED
Object J1
J1 is the top professional football (soccer) division in Japan, featuring the country’s highest-level clubs.
 E697627 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: J1 | Statement: [J1 League, abbreviation, J1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: J1
Context triple: [J1 League, abbreviation, J1]
  • A. J100
    J100 is the internal model code used by Lexus to designate the second generation of its full-size luxury SUV, the Lexus LX.
  • B. J.
    J. is the middle initial of John J. Pershing, the prominent American general who led the American Expeditionary Forces in World War I.
  • C. J7
    J7 is a numbered junction on the M60 motorway in Greater Manchester, England, serving as an access point between the motorway and the surrounding local road network.
  • D. JU
    JU is the two-letter IATA airline designator assigned to Air Serbia, the national flag carrier of Serbia.
  • E. JU
    JU is the commonly used abbreviation for Jiwaji University, a public university located in Gwalior, Madhya Pradesh, India.
  • 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: J1
Triple: [J1 League, abbreviation, J1]
Generated description
J1 is the top professional football (soccer) division in Japan, featuring the country’s highest-level clubs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: J1
Target entity description: J1 is the top professional football (soccer) division in Japan, featuring the country’s highest-level clubs.
  • A. J100
    J100 is the internal model code used by Lexus to designate the second generation of its full-size luxury SUV, the Lexus LX.
  • B. J.
    J. is the middle initial of John J. Pershing, the prominent American general who led the American Expeditionary Forces in World War I.
  • C. J7
    J7 is a numbered junction on the M60 motorway in Greater Manchester, England, serving as an access point between the motorway and the surrounding local road network.
  • D. JU
    JU is the two-letter IATA airline designator assigned to Air Serbia, the national flag carrier of Serbia.
  • E. JU
    JU is the commonly used abbreviation for Jiwaji University, a public university located in Gwalior, Madhya Pradesh, India.
  • 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_69ca8291c2008190b1b8832c87814bcf completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b285d3881909b2ac0b395538a8a completed March 31, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5c19168c8190a42d9c679fe35c40 completed March 31, 2026, 5:31 a.m.
NEDg Description generation batch_69cb5f23d11c8190a29f28337f1db419 completed March 31, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69cb76d595508190abc7c542caf3f210 completed March 31, 2026, 7:25 a.m.
Created at: March 30, 2026, 5:09 p.m.