Triple
T25560221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Australian Championships 1962 |
E640692
|
entity |
| Predicate | drawIncludes |
P1393
|
FINISHED |
| Object | women's doubles |
—
|
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: women's doubles | Statement: [Australian Championships 1962, drawIncludes, women's doubles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drawIncludes Context triple: [Australian Championships 1962, drawIncludes, women's doubles]
-
A.
includesFiguresFrom
Indicates that one entity contains or incorporates figures that originate from or are part of another entity.
-
B.
draws
Indicates that one entity creates a visual representation or image of another entity.
-
C.
outputIncludes
Indicates that the result or product of a process, function, or action contains or incorporates a specified element or component.
-
D.
includes
chosen
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
-
E.
includedWith
Indicates that one entity is provided or packaged together as part of another entity.
- 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_69e75dc1beb08190bac7d76b8d6e7bc4 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f8f7e4e88190b1b3b03eadd3b5bf |
completed | May 2, 2026, 1:15 p.m. |
| PD | Predicate disambiguation | batch_69f4a0f7c6008190ae8cee3e71e19b94 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 21, 2026, 3:45 p.m.