Triple
T32153487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Utmost for His Highest |
E821218
|
entity |
| Predicate | numberOfReadings |
P42152
|
FINISHED |
| Object | 366 |
—
|
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: 366 | Statement: [My Utmost for His Highest, numberOfReadings, 366]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfReadings Context triple: [My Utmost for His Highest, numberOfReadings, 366]
-
A.
numberOfCounts
chosen
Indicates the total quantity or tally of discrete occurrences, items, or instances associated with an entity or event.
-
B.
readsTo
Indicates that one entity reads or recites content aloud for the benefit of another entity.
-
C.
numberOfSensors
Indicates the quantity of sensors associated with or contained by a given entity.
-
D.
readingsCycle
Indicates that there is a recurring or cyclical pattern in the readings associated with an entity or process.
-
E.
numberOfEntries
Indicates the total count of individual items, records, or instances associated with a given entity or context.
- 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_69f34905e098819082191a6922a6d607 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a0189f3f0248190a1b018164d18e6f5 |
completed | May 11, 2026, 7:49 a.m. |
| PD | Predicate disambiguation | batch_6a0187ee0920819097047bb55e1f9506 |
completed | May 11, 2026, 7:40 a.m. |
Created at: May 1, 2026, 12:32 a.m.