Triple
T4395813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Journey in the Seaboard Slave States |
E99483
|
entity |
| Predicate | timeOfTravelDescribed |
P2325
|
FINISHED |
| Object | early 1850s |
—
|
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: early 1850s | Statement: [A Journey in the Seaboard Slave States, timeOfTravelDescribed, early 1850s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfTravelDescribed Context triple: [A Journey in the Seaboard Slave States, timeOfTravelDescribed, early 1850s]
-
A.
travelTimeCategory
Indicates the qualitative classification of how long a given travel or trip duration is (e.g., short, medium, long).
-
B.
timeDescribedAs
chosen
Indicates that a specific time or temporal interval is characterized, labeled, or expressed using a particular description or representation.
-
C.
timeTravelFrom
Indicates a relationship where an entity initiates time travel starting from a specific time or temporal location.
-
D.
distanceTraveled
Indicates the total length of the path an entity has moved over a period of time or between two points.
-
E.
voyageDuration
Indicates the length of time that a voyage or journey lasts from its start to its end.
- 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_69b345506b408190b0e3dee616738a7d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352ab928c81909f4406d5df3e081b |
completed | March 12, 2026, 11:56 p.m. |
| PD | Predicate disambiguation | batch_69b34f597998819092477efdedb51427 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:20 p.m.