Triple
T34013723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jamestown settlement |
E872182
|
entity |
| Predicate | starvingTimeYears |
P178152
|
FINISHED |
| Object | 1609–1610 |
—
|
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: 1609–1610 | Statement: [Jamestown settlement, starvingTimeYears, 1609–1610]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starvingTimeYears Context triple: [Jamestown settlement, starvingTimeYears, 1609–1610]
-
A.
servesYears
Indicates the duration, measured in years, that an entity performs a particular role, service, or function.
-
B.
revivalYear
Indicates the year in which something (such as a work, practice, or institution) was brought back into active use or renewed after a period of decline or inactivity.
-
C.
struckDownYear
Indicates the year in which a law, decision, or ruling was invalidated or nullified, typically by a higher authority such as a court.
-
D.
survivedYear
Indicates that an entity continued to live or exist through a specified year.
-
E.
extinctionPeriod
Indicates the time span during which an entity ceases to exist or is considered extinct.
- 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_69f349a08848819084b348d64c1879c3 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70c53062c8190b4cb7be22ab00bc7 |
completed | May 3, 2026, 8:50 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
| PDg | Predicate description generation | batch_69f70b94784c8190970d654e066eb50d |
completed | May 3, 2026, 8:47 a.m. |
Created at: May 1, 2026, 1:51 a.m.