Triple
T15262296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Field (astronomer) |
E364808
|
entity |
| Predicate | hasCenturyOfActivity |
P1560
|
FINISHED |
| Object | 16th 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: 16th century | Statement: [John Field (astronomer), hasCenturyOfActivity, 16th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCenturyOfActivity Context triple: [John Field (astronomer), hasCenturyOfActivity, 16th century]
-
A.
activeInCentury
chosen
Indicates that an entity was active, influential, or operational during a specified century.
-
B.
historicallyActiveIn
Indicates that an entity was active or engaged in significant activities within a particular place or context during a past historical period.
-
C.
existsSinceCentury
Indicates that an entity has existed or been in effect since a specified century.
-
D.
completedInCentury
Indicates that an action, event, or creation was finished during a specified century.
-
E.
usedSinceCentury
Indicates that something has been in use starting from a specified century.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0084e85a08190b8e63598b9f6a535 |
completed | April 15, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69deca8d1bd48190a4b94f29b425e335 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:14 a.m.