Triple
T34550948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Melville Hays |
E887060
|
entity |
| Predicate | shipEmbarkedFrom |
P1521
|
FINISHED |
| Object | Cherbourg, France |
—
|
NE NERFINISHED |
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: Cherbourg, France | Statement: [Charles Melville Hays, shipEmbarkedFrom, Cherbourg, France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shipEmbarkedFrom Context triple: [Charles Melville Hays, shipEmbarkedFrom, Cherbourg, France]
-
A.
shipBoardedFrom
Indicates that an entity boarded a ship originating from or at a specified location or source.
-
B.
typicalEmbarkedForce
Indicates the usual or characteristic military force that is boarded onto a vehicle, vessel, or transport platform for an operation or mission.
-
C.
placeOfArrival
Indicates the location at which an entity or person arrives at the end of a journey, movement, or transfer.
-
D.
shipName
Indicates the name assigned to a specific ship in the relationship.
-
E.
placeOfDeparture
chosen
Indicates the location from which an entity, such as a person or vehicle, begins its journey or movement.
- 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_69f349cff89081908f91e0b064f4833e |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f72026dbe08190b72fc3aa9440ff46 |
completed | May 3, 2026, 10:15 a.m. |
| PD | Predicate disambiguation | batch_69f71cc8074c81909ae09bea2acf1a09 |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:02 a.m.