Triple
T9700233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Warning |
E234756
|
entity |
| Predicate | firstEuropeanNameYear |
P50121
|
FINISHED |
| Object | 1770 |
—
|
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: 1770 | Statement: [Mount Warning, firstEuropeanNameYear, 1770]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstEuropeanNameYear Context triple: [Mount Warning, firstEuropeanNameYear, 1770]
-
A.
yearOfEuropeanNaming
chosen
Indicates the year in which a place or entity was first given a recorded name by a European individual or institution.
-
B.
firstEuroAppearanceYear
Indicates the calendar year in which an entity made its first appearance or participation in a European competition or event.
-
C.
firstCelebratedInYear
Indicates the year in which something (such as an event, holiday, or celebration) was first observed or celebrated.
-
D.
usedAsFirstNameSinceCentury
Indicates that an entity has been used as a first name starting from a specified century.
-
E.
firstCompleterYear
Indicates the calendar or academic year in which an entity first completed a specified program, requirement, or activity.
- 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d6eab0c8190abac1b009d625975 |
completed | April 1, 2026, 10:34 p.m. |
| PD | Predicate disambiguation | batch_69cd03b641408190942464eaf174c6b5 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:18 p.m.