Triple
T37175191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marchmont |
E921019
|
entity |
| Predicate | hasLocalFacility |
P12416
|
FINISHED |
| Object | Warrender Swim Centre |
—
|
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: Warrender Swim Centre | Statement: [Marchmont, hasLocalFacility, Warrender Swim Centre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalFacility Context triple: [Marchmont, hasLocalFacility, Warrender Swim Centre]
-
A.
hasFacilityLocation
Indicates that an entity possesses or is associated with a facility situated at a specific location.
-
B.
hasNearbyFacility
Indicates that one entity is located close to or in the vicinity of a particular facility.
-
C.
hasFacilities
chosen
Indicates that an entity possesses, provides, or is equipped with certain facilities or physical resources.
-
D.
hasLocalSupport
Indicates that an entity receives backing, endorsement, or assistance from people or organizations within its immediate geographic or community area.
-
E.
hasFacilityType
Indicates that an entity possesses or is associated with a specific type or category of facility.
- 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_69f76ea16f288190b445aa1604d996f4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff7dcedab08190a719a707d03306e2 |
completed | May 9, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69ff7d0119348190ad462554e81190fe |
completed | May 9, 2026, 6:29 p.m. |
Created at: May 3, 2026, 4:15 p.m.