Triple
T35521225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Town Mouse and the Country Mouse |
E1026553
|
entity |
| Predicate | timePeriodOfFirstRecord |
P180553
|
FINISHED |
| Object | classical antiquity |
—
|
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: classical antiquity | Statement: [The Town Mouse and the Country Mouse, timePeriodOfFirstRecord, classical antiquity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriodOfFirstRecord Context triple: [The Town Mouse and the Country Mouse, timePeriodOfFirstRecord, classical antiquity]
-
A.
recordedInPeriodStart
Indicates that an event or record began or was first documented at the start of a specified time period.
-
B.
historicallyRecordedSince
Indicates that the existence, occurrence, or recognition of one entity has been documented in historical records starting from the time specified by another entity.
-
C.
timePeriodAnalyzedStart
Indicates the starting point in time from which a given period is examined or analyzed.
-
D.
timePeriodOfFirstAppearance
chosen
Indicates the time period during which something first appeared or was initially introduced.
-
E.
firstRecordingDate
Indicates the date on which an entity’s first recording (e.g., audio, video, or similar captured performance) was made.
- 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_69f76dfe78b081908e2b14cb88dd8c00 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd0d0ba5c48190bddb3f0e6637544c |
completed | May 7, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69fd0c4324a8819086c90adf46216e0e |
completed | May 7, 2026, 10:03 p.m. |
Created at: May 3, 2026, 4:04 p.m.