Triple
T11942877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hospital Santa Catarina |
E284219
|
entity |
| Predicate | hasMaternityWard |
P73148
|
FINISHED |
| Object | true |
—
|
LITERAL FINISHED |
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: true | Statement: [Hospital Santa Catarina, hasMaternityWard, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMaternityWard Context triple: [Hospital Santa Catarina, hasMaternityWard, true]
-
A.
hasMaternityUnit
chosen
Indicates that a facility or organization includes or operates a maternity unit where childbirth and related maternal care services are provided.
-
B.
hasNurse
Indicates that an entity is assigned or associated with a nurse who provides care or medical support to it.
-
C.
birthHospital
Indicates the hospital where a person was born.
-
D.
hasGarbhagriha
Indicates that a structure or building contains or is associated with a garbhagriha, the innermost sanctum or core shrine space.
-
E.
containsHospital
Indicates that one entity includes or encompasses a hospital within its boundaries or composition.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90342bb908190a019ac91a2b82f3d |
completed | April 10, 2026, 2:03 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3e48e08190b2fee43af4f57323 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.