Triple
T18823466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Mesa |
E460322
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Our Lady of Lourdes Hospital |
—
|
NE NERFINISHED |
How this triple was built (3 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: Our Lady of Lourdes Hospital | Statement: [Santa Mesa, hasLandmark, Our Lady of Lourdes Hospital]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Our Lady of Lourdes Hospital Context triple: [Santa Mesa, hasLandmark, Our Lady of Lourdes Hospital]
-
A.
Our Lady of Lourdes Medical Center
Our Lady of Lourdes Medical Center is a Catholic-affiliated hospital in Camden, New Jersey, known for providing comprehensive acute care and specialized medical services to the surrounding community.
-
B.
Our Lady of Maryknoll Hospital
Our Lady of Maryknoll Hospital is a Catholic community hospital in Hong Kong that serves as a clinical training site for medical students of The Chinese University of Hong Kong.
-
C.
Calvary John James Hospital
Calvary John James Hospital is a major private healthcare facility in Canberra, Australia, providing a range of acute medical, surgical, and maternity services.
-
D.
Sacred Heart Hospital
Sacred Heart Hospital is the fictional teaching hospital where most of the events and character interactions in the medical comedy series "Scrubs" take place.
-
E.
Holy Family Hospital
Holy Family Hospital is a major public teaching and referral hospital located in Rawalpindi, Pakistan.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Our Lady of Lourdes Hospital Target entity description: Our Lady of Lourdes Hospital is a major Catholic medical center in Santa Mesa, Manila, known for providing comprehensive healthcare services to the surrounding community.
-
A.
Our Lady of Lourdes Medical Center
Our Lady of Lourdes Medical Center is a Catholic-affiliated hospital in Camden, New Jersey, known for providing comprehensive acute care and specialized medical services to the surrounding community.
-
B.
Our Lady of Maryknoll Hospital
Our Lady of Maryknoll Hospital is a Catholic community hospital in Hong Kong that serves as a clinical training site for medical students of The Chinese University of Hong Kong.
-
C.
Calvary John James Hospital
Calvary John James Hospital is a major private healthcare facility in Canberra, Australia, providing a range of acute medical, surgical, and maternity services.
-
D.
Sacred Heart Hospital
Sacred Heart Hospital is the fictional teaching hospital where most of the events and character interactions in the medical comedy series "Scrubs" take place.
-
E.
Holy Family Hospital
Holy Family Hospital is a major public teaching and referral hospital located in Rawalpindi, Pakistan.
- F. None of above. chosen
Provenance (2 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a6bce5588190bd0aefcd0c51edad |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 10, 2026, 11:55 a.m.