Triple
T24902644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ATP Cup |
E623620
|
entity |
| Predicate | edition2022HostCities |
P53092
|
FINISHED |
| Object |
Sydney
Sydney is Australia's largest and most populous city, renowned for its iconic harbourfront, including the Sydney Opera House and Harbour Bridge, and its role as a major cultural and sporting hub.
|
E8462
|
NE FINISHED |
How this triple was built (3 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: Sydney | Statement: [ATP Cup, edition2022HostCities, Sydney]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sydney Triple: [ATP Cup, edition2022HostCities, Sydney]
Generated description
Sydney is Australia's largest and most populous city, renowned for its iconic harbourfront, including the Sydney Opera House and Harbour Bridge, and its role as a major cultural and sporting hub.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: edition2022HostCities Context triple: [ATP Cup, edition2022HostCities, Sydney]
-
A.
2021EditionHostCountry
Indicates the country that served as the host for the 2021 edition of a particular event or competition.
-
B.
tournamentHostCities
chosen
Indicates the cities that serve as hosts for a given tournament.
-
C.
secondEditionHostCountries
Indicates the countries that hosted the second edition of a particular event or series.
-
D.
notableFormerHostCity
Indicates that a city previously hosted a notable event or series of events associated with the subject.
-
E.
inauguralHostCity
Indicates the city that first hosted a particular event, competition, or series.
- F. None of above.
Provenance (6 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_69e2fac797cc8190b30d77f4121099ac |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f47b865df48190bf4b6d3e9f9305e6 |
completed | May 1, 2026, 10:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a10b715795481908c338dafa4a23eeb |
completed | May 22, 2026, 8:05 p.m. |
| NEDg | Description generation | batch_6a10b9966114819093e81a647905346a |
completed | May 22, 2026, 8:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a10ba344df081908266aaa1920d9f3d |
completed | May 22, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69f4682c8a3c8190adbfaac99474eaaf |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 18, 2026, 5:27 a.m.