Triple
T25598562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jones Falls, Ontario |
E641723
|
entity |
| Predicate | hasLockstation |
P105426
|
FINISHED |
| Object | Jones Falls Lockstation |
—
|
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: Jones Falls Lockstation | Statement: [Jones Falls, Ontario, hasLockstation, Jones Falls Lockstation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLockstation Context triple: [Jones Falls, Ontario, hasLockstation, Jones Falls Lockstation]
-
A.
hasLockNumber
Indicates that an entity is associated with a specific lock identified by a number.
-
B.
hasLockers
Indicates that one entity provides or contains lockers that are available for use by another entity.
-
C.
hasNearbyAccess
Indicates that one entity has convenient, close-proximity access to another resource, service, or location.
-
D.
usesLockSystem
Indicates that one entity employs or relies on a locking mechanism or lock-based system provided by another entity.
-
E.
hasStationAt
chosen
Indicates that an entity maintains or operates a station located at a specified place.
- 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_69e75dc60d108190b7e2419e36b0134b |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 21, 2026, 4:29 p.m.