Triple
T3147948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Slam tennis tournaments |
E65806
|
entity |
| Predicate | drawSizeCharacteristic |
P7759
|
FINISHED |
| Object | largest main-draw fields in tennis |
—
|
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: largest main-draw fields in tennis | Statement: [Grand Slam tennis tournaments, drawSizeCharacteristic, largest main-draw fields in tennis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drawSizeCharacteristic Context triple: [Grand Slam tennis tournaments, drawSizeCharacteristic, largest main-draw fields in tennis]
-
A.
cellSize
Indicates the physical dimensions or volume of a cell in a biological or computational context.
-
B.
romSize
Indicates the amount of read-only memory (ROM) associated with an entity, typically measured as its storage capacity.
-
C.
paletteSize
Indicates the number of distinct colors included in a given color palette.
-
D.
bracketSize
Indicates the size or capacity of a bracket used to group or structure related elements.
-
E.
fieldSize
chosen
Indicates the magnitude or dimensions of a field associated with an entity or context.
- 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_69ad8584485081909ed529e890cadc4a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada59a54188190a2e020fd4004d734 |
completed | March 8, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfa3d9081908425aa636bb9b897 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:05 p.m.