Triple
T28840565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lidcombe |
E728303
|
entity |
| Predicate | sportingPrecinctProximity |
P61362
|
FINISHED |
| Object | Sydney Olympic Park sporting facilities |
—
|
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: Sydney Olympic Park sporting facilities | Statement: [Lidcombe, sportingPrecinctProximity, Sydney Olympic Park sporting facilities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportingPrecinctProximity Context triple: [Lidcombe, sportingPrecinctProximity, Sydney Olympic Park sporting facilities]
-
A.
sportsDistrict
Indicates that a district is associated with or designated for sports-related activities, facilities, or organizations.
-
B.
locationOfSport
Indicates the place where a particular sport is played, practiced, or held.
-
C.
hasNearbyStadium
Indicates that one entity is located close to or in the vicinity of a stadium associated with another entity.
-
D.
placeOfSportsActivity
Indicates the location where a sports activity is or was carried out.
-
E.
nearbyTo
chosen
Indicates that one entity is located close in distance or position to 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_69f0319e8e7c8190b37288c8845b9dbc |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f67d3624248190a36a9b2d2e9778d4 |
completed | May 2, 2026, 10:39 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 28, 2026, 6:40 a.m.