Triple
T8317556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WTA 1000 tournaments |
E194743
|
entity |
| Predicate | introducedAsName |
P59337
|
FINISHED |
| Object | 2021 |
—
|
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: 2021 | Statement: [WTA 1000 tournaments, introducedAsName, 2021]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedAsName Context triple: [WTA 1000 tournaments, introducedAsName, 2021]
-
A.
namedAs
Indicates that one entity is given, known by, or referred to using the name of another entity.
-
B.
introducedAsNameplate
Indicates that an entity is presented or displayed as a nameplate identifying another entity.
-
C.
introducedVia
Indicates that one entity was brought to the attention, presence, or awareness of another entity through a specific intermediary, method, or channel.
-
D.
usesNameSince
chosen
Indicates that an entity has been using a particular name continuously starting from a specified point in time.
-
E.
introducedAsModel
Indicates that one entity is presented or identified to others in the role or capacity of a model.
- F. None of above.
Provenance (3 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_69ca82e6e2648190a31eaf6f4f757b2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f630ea881909fb639383e60aee9 |
completed | March 31, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69cb70bf689c8190a9d9b6b872abf53d |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:55 p.m.