Triple
T8143946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Euclid's Elements |
E190161
|
entity |
| Predicate | wasStandardTextbookDuration |
P80936
|
FINISHED |
| Object | over two millennia |
—
|
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: over two millennia | Statement: [Euclid's Elements, wasStandardTextbookDuration, over two millennia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasStandardTextbookDuration Context triple: [Euclid's Elements, wasStandardTextbookDuration, over two millennia]
-
A.
notableTextbook
Indicates that a textbook is recognized as significant, influential, or widely used within its field or subject area.
-
B.
courseLength
Indicates the duration or total length of a course, typically measured in units such as hours, weeks, or credits.
-
C.
timePeriodOfStandardization
Indicates the time span during which a particular standard was formally established or in effect.
-
D.
typicalDurationDays
Indicates the usual or expected number of days that an associated event, process, or state typically lasts.
-
E.
intendedDuration
Indicates the planned or expected length of time for which an action, event, or state is meant to occur or remain in effect.
- 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_69ca82bd9900819099477cdc2eb4244f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4444bb248190beaaa2ce4b8f3eaa |
completed | March 31, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69cb369c0d0481908762c488d7f77e74 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb39d20e78819092ea9e04357be008 |
completed | March 31, 2026, 3:04 a.m. |
Created at: March 30, 2026, 5:36 p.m.