Triple
T36518136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rafael Nadal |
E900102
|
entity |
| Predicate | rankedWorldNo1 |
P103691
|
FINISHED |
| Object | ATP singles rankings |
—
|
NE NERFINISHED |
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: ATP singles rankings | Statement: [Rafael Nadal, rankedWorldNo1, ATP singles rankings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankedWorldNo1 Context triple: [Rafael Nadal, rankedWorldNo1, ATP singles rankings]
-
A.
rankedNumberOneOn
Indicates that one entity holds the top position or highest rank on a particular list, chart, or ranking system relative to others.
-
B.
worldFirst
Indicates that an entity is the first in the world to achieve, create, or perform a particular thing or action.
-
C.
wasRankedWorldNumberOneUntil
Indicates that an entity held the world number one ranking in a given domain up to, but not beyond, a specified time.
-
D.
worldNumberOneRankingAchieved
chosen
Indicates that an entity has attained the top position in a recognized world ranking within a specific field or domain.
-
E.
capacityRankInWorld
Indicates the relative position or ranking of an entity’s capacity compared to all similar entities worldwide.
- 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_69f76e5dada881909da2d34bc7a9202a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:11 p.m.