Triple
T32142224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Causeway Hospital |
E820934
|
entity |
| Predicate | hasSurgicalTheatres |
P87984
|
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: [Causeway Hospital, hasSurgicalTheatres, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSurgicalTheatres Context triple: [Causeway Hospital, hasSurgicalTheatres, true]
-
A.
hasOperatingTheatres
chosen
Indicates that an entity possesses or includes one or more operating theatres as part of its facilities or infrastructure.
-
B.
operatedTheatersIn
Indicates that an entity managed or ran the day-to-day operations of one or more theaters in a specified location or context.
-
C.
hasAnesthesiologyDepartment
Indicates that an entity includes or is associated with a department specializing in anesthesiology services.
-
D.
operatesTheatre
Indicates that an entity manages and runs the activities of a theatre.
-
E.
operatingTheatre
Indicates a relationship where a medical procedure or operation takes place within a designated surgical room or facility.
- 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_69f3490520d081909b2f1271dab75faa |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fef112398081909237c3872345968b |
completed | May 9, 2026, 8:32 a.m. |
| PD | Predicate disambiguation | batch_69feefb14ec08190ab401987d8c84a23 |
completed | May 9, 2026, 8:26 a.m. |
Created at: May 1, 2026, 12:31 a.m.