Triple
T7856653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benazir Bhutto Hospital |
E182391
|
entity |
| Predicate | inferredType |
P79392
|
FINISHED |
| Object | tertiary care hospital |
—
|
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: tertiary care hospital | Statement: [Benazir Bhutto Hospital, inferredType, tertiary care hospital]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inferredType Context triple: [Benazir Bhutto Hospital, inferredType, tertiary care hospital]
-
A.
usedToInfer
Indicates that one entity serves as a basis or source from which another entity is logically derived or concluded.
-
B.
invariantType
Indicates that one entity has a type or classification that remains constant or unchanged under specified conditions or transformations.
-
C.
syntacticType
Indicates the grammatical or structural category that characterizes how an expression functions within a syntactic construction.
-
D.
usedInType
Indicates that something serves as a component, element, or example within a particular type or category.
-
E.
derivationType
Indicates the specific manner or process by which one entity is derived or obtained from another.
- 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_69ca82887fd48190975896bf38c4596b |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb1a75de548190af5653409a3b3881 |
completed | March 31, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69cae92180f88190ae3d44c3de7adc93 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf786ec748190b6347b0c94335550 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:52 p.m.