Triple
T34970655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henrietta Place |
E1008528
|
entity |
| Predicate | inMedicalArea |
P182153
|
FINISHED |
| Object | Harley Street medical district |
—
|
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: Harley Street medical district | Statement: [Henrietta Place, inMedicalArea, Harley Street medical district]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inMedicalArea Context triple: [Henrietta Place, inMedicalArea, Harley Street medical district]
-
A.
medicalField
Indicates that one entity is a branch or specialty of medicine in which the other entity is practiced, studied, or categorized.
-
B.
medicalBackground
Indicates that an entity has a history of prior medical conditions, treatments, or health-related experiences relevant to its current state or context.
-
C.
medicalPractice
Indicates a relationship where an entity engages in or carries out the professional provision of medical care or services.
-
D.
clinicalSetting
Indicates that an action, observation, or interaction occurs within a healthcare or medical care environment.
-
E.
coreTherapeuticArea
Indicates the primary medical or clinical domain in which a therapy, treatment, or product is principally intended to be used.
- 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_69f76dc78a308190a1ac29ad4a9a4895 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78710282c81909146dc0be91e983f |
completed | May 3, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f784162134819098413482ef52042f |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f7870dfe108190996c0c68630edc7f |
completed | May 3, 2026, 5:34 p.m. |
Created at: May 3, 2026, 4:01 p.m.