Triple
T7375243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hindu–Arabic numeral system |
E170106
|
entity |
| Predicate | timeOfAdoptionInEurope |
P3076
|
FINISHED |
| Object | late Middle Ages |
—
|
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: late Middle Ages | Statement: [Hindu–Arabic numeral system, timeOfAdoptionInEurope, late Middle Ages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfAdoptionInEurope Context triple: [Hindu–Arabic numeral system, timeOfAdoptionInEurope, late Middle Ages]
-
A.
adoptedEuro
Indicates that a country or entity has officially adopted the euro as its legal currency.
-
B.
replacedByInEurope
Indicates that one entity has been superseded or substituted by another specifically within the geographic context of Europe.
-
C.
arrivalInEurope
Indicates the event or state of something or someone reaching or entering a location within Europe.
-
D.
yearOfEuropeanNaming
Indicates the year in which a place or entity was first given a recorded name by a European individual or institution.
-
E.
adoptedAt
chosen
Indicates the time or date at which an adoption event took place.
- 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_69c68a5bfaac81909ce7f001dfb70c76 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1a780f88190abf11994e307b6ad |
completed | March 27, 2026, 9:07 p.m. |
| PD | Predicate disambiguation | batch_69c6f02ee3e08190a7a00c981129b22c |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:07 p.m.