Triple
T5010112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Nine Billion Names of God |
E112596
|
entity |
| Predicate | hasTimeSetting |
P20835
|
FINISHED |
| Object | 20th century |
—
|
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: 20th century | Statement: [The Nine Billion Names of God, hasTimeSetting, 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTimeSetting Context triple: [The Nine Billion Names of God, hasTimeSetting, 20th century]
-
A.
timeOfSetting
chosen
Indicates the specific time at which an event, object, or phenomenon is set, scheduled, or takes place.
-
B.
hasClock
Indicates that one entity possesses, contains, or is equipped with a clock.
-
C.
hasTimeStart
Indicates that an event, process, or state begins at a specific point in time.
-
D.
hasTimeOfDay
Indicates that a situation, event, or state occurs during, or is associated with, a specific part of the day (e.g., morning, afternoon, evening, night).
-
E.
timeStatus
Indicates the temporal state or condition of an event or entity relative to a reference time (e.g., past, present, future, ongoing, or scheduled).
- 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_69bd4434acb8819086679dbeccc2fe54 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd730bdb208190bebd7f22839ab6e5 |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd714cbc448190aa53a8a83d768b64 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:35 p.m.