Triple
T19006107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fortune |
E465087
|
entity |
| Predicate | voyageSequenceRelativeToMayflower |
P35334
|
FINISHED |
| Object | second ship to reach Plymouth Colony |
—
|
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: second ship to reach Plymouth Colony | Statement: [Fortune, voyageSequenceRelativeToMayflower, second ship to reach Plymouth Colony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voyageSequenceRelativeToMayflower Context triple: [Fortune, voyageSequenceRelativeToMayflower, second ship to reach Plymouth Colony]
-
A.
maidenVoyageRoute
Indicates the route or path taken by something (typically a vessel or vehicle) on its first official journey or inaugural trip.
-
B.
relativeToJamestown
Indicates a spatial or contextual relationship defined in terms of Jamestown as the reference point.
-
C.
sequenceInBeagleVoyages
Indicates that one event, observation, or item occurs at a specific position within the ordered sequence of Beagle voyages.
-
D.
famousVoyage
Indicates that a voyage is widely recognized or celebrated for its historical, cultural, or exploratory significance.
-
E.
subsequentVoyage
chosen
Indicates that one voyage occurs after and in sequence to another voyage in time.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6a494688190a277b2cddf300235 |
completed | April 20, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f88e0c81908cb20f08bf24cd32 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:01 p.m.