Triple
T13755654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foreign Relations of the United States series |
E330468
|
entity |
| Predicate | firstVolumesCoveredPeriod |
P3058
|
FINISHED |
| Object | American Civil War era |
—
|
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: American Civil War era | Statement: [Foreign Relations of the United States series, firstVolumesCoveredPeriod, American Civil War era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstVolumesCoveredPeriod Context triple: [Foreign Relations of the United States series, firstVolumesCoveredPeriod, American Civil War era]
-
A.
firstSeasonCoversPeriod
Indicates that the first season of a series spans or depicts a specific time period or range of events.
-
B.
timePeriodCoveredTo
chosen
Indicates the span or duration of time that is encompassed, addressed, or relevant to a given subject or entity.
-
C.
coversPeriodStart
Indicates that the time span or coverage of one entity begins at, or includes, the specified starting point in time of another entity or period.
-
D.
firstTermStart
Indicates that an entity marks the starting point or initial term in an ordered sequence, period, or agreement.
-
E.
firstVolumesPublished
Indicates that the initial volumes of a multi-volume work have been published.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02179c948190a652cc8c586e418f |
completed | April 14, 2026, 9 a.m. |
| PD | Predicate disambiguation | batch_69dbbe97846c819093b00ea117b64e0d |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 10:09 p.m.