Triple
T24735560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Marys Place |
E618404
|
entity |
| Predicate | isKeyDistrictOf |
P157218
|
FINISHED |
| Object | Destination Medical Center initiative |
—
|
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: Destination Medical Center initiative | Statement: [St. Marys Place, isKeyDistrictOf, Destination Medical Center initiative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isKeyDistrictOf Context triple: [St. Marys Place, isKeyDistrictOf, Destination Medical Center initiative]
-
A.
hasDistrictKey
Indicates that an entity is associated with a specific district through a unique identifying key.
-
B.
isInnerDistrictOf
Indicates that one district is geographically or administratively located within and subordinate to another, larger district.
-
C.
isSingleDistrictFor
Indicates that one district uniquely and exclusively serves or applies to a given entity, with no other districts sharing that role.
-
D.
hasCityDistrictAlong
Indicates that a city district is located along or adjacent to a specified linear feature, such as a road, river, or coastline.
-
E.
occursInDistrict
Indicates that an event or activity takes place within the boundaries of a specific district.
- F. None of above. chosen
Provenance (4 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_69e2fab772608190b74163751047ff50 |
completed | April 18, 2026, 3:29 a.m. |
| NER | Named-entity recognition | batch_69f422aee0408190899efe7e24ef2b40 |
completed | May 1, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f420e92cc88190a803aecdae78a051 |
completed | May 1, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f422add8508190a76e56cfa756eeb8 |
completed | May 1, 2026, 3:49 a.m. |
Created at: April 18, 2026, 4:03 a.m.