Triple
T32093615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Top League |
E819665
|
entity |
| Predicate | professionalEraStartInJapan |
P173539
|
FINISHED |
| Object | 2003 |
—
|
LITERAL FINISHED |
How this triple was built (2 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: 2003 | Statement: [Top League, professionalEraStartInJapan, 2003]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: professionalEraStartInJapan Context triple: [Top League, professionalEraStartInJapan, 2003]
-
A.
professionalEra
Indicates the time period during which an entity was active in a professional capacity within a given field or role.
-
B.
dateOfIntroductionToJapan
Indicates the date on which something was first introduced or brought into Japan.
-
C.
preModernJapaneseEraSequence
Indicates that one pre-modern Japanese era chronologically precedes another in the historical sequence of eras.
-
D.
refersToEraOfCareer
Indicates that one entity specifies or denotes the particular era or phase within another entity’s career.
-
E.
marketedYearsInJapan
Indicates the years during which a product was actively marketed in Japan.
- F. None of above. chosen
Provenance (4 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_69f349004b2481908ce2e50af0d579a8 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b63f9da88190975712a5644500c7 |
completed | May 3, 2026, 2:43 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: May 1, 2026, 12:25 a.m.