Triple
T33350620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The House of God |
E853922
|
entity |
| Predicate | depictsInstitutionType |
P2377
|
FINISHED |
| Object | 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: hospital | Statement: [The House of God, depictsInstitutionType, hospital]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsInstitutionType Context triple: [The House of God, depictsInstitutionType, hospital]
-
A.
depictsInstitution
chosen
Indicates that one entity visually represents or portrays an institution as its subject.
-
B.
typeOfInstitution
Indicates the specific kind or category of institution that an entity belongs to or is classified as.
-
C.
coversInstitutionType
Indicates that one entity includes or applies to a particular type or category of institution.
-
D.
governsInstitutionType
Indicates that an entity has authoritative control or regulatory oversight over a particular type or category of institution.
-
E.
involvesInstitution
Indicates that an action, event, or relationship includes or is associated with an institution as a participating party.
- 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_69f3496acbc8819099fd0305ecc42080 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
Created at: May 1, 2026, 1:34 a.m.