Triple
T29889506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Faith medical complex |
E759111
|
entity |
| Predicate | designedToCombine |
P192432
|
FINISHED |
| Object | prayer |
—
|
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: prayer | Statement: [City of Faith medical complex, designedToCombine, prayer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designedToCombine Context triple: [City of Faith medical complex, designedToCombine, prayer]
-
A.
isConsideredCombinationOf
Indicates that something is regarded as being formed by or equivalent to a specific combination of other things or components.
-
B.
knownForCombining
Indicates a relationship where one entity is recognized or notable for bringing together or merging multiple elements, entities, or aspects into a unified whole.
-
C.
introducedFromCombinationOf
Indicates that something is newly created or arises as a result of combining two or more other entities or elements.
-
D.
combinedIn
Indicates that two or more entities are merged, joined, or used together to form a single combined whole or context.
-
E.
combinesFeaturesOf
Indicates that one entity integrates or merges characteristics, attributes, or functionalities originating from multiple other entities.
- 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_69f2245f1cf88190978c70d1a1d2cb73 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
| PDg | Predicate description generation | batch_69fd0b92150881909b1166fe6d09aa19 |
completed | May 7, 2026, 10 p.m. |
Created at: April 29, 2026, 6:02 p.m.