Triple
T28451361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Subotiv |
E716588
|
entity |
| Predicate | timeOfEarliestMention |
P113262
|
FINISHED |
| Object | 17th 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: 17th century | Statement: [Subotiv, timeOfEarliestMention, 17th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfEarliestMention Context triple: [Subotiv, timeOfEarliestMention, 17th century]
-
A.
ageFirstMentioned
Indicates the point in time or age at which an entity is first referenced or mentioned in a given context.
-
B.
timeOfAppearance
Indicates the specific time at which an entity or event becomes visible, present, or first occurs.
-
C.
earliestDate
Indicates the earliest point in time at which an associated event, state, or relationship is considered to begin or be valid.
-
D.
timeOfFirstRevelation
Indicates the specific time at which the first revelation or initial disclosure of something occurred.
-
E.
earliestKnownPeriod
chosen
Indicates the earliest historical or temporal period in which the subject is known or documented to have existed, occurred, or been relevant.
- 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_69efd6b76f8c8190a7ba908aca280942 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f6c1265c208190aacd2b551f8f0f82 |
completed | May 3, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
Created at: April 28, 2026, 1:52 a.m.