Triple
T2344958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfred Gwynne Vanderbilt |
E45108
|
entity |
| Predicate | dateOfDisembarkation |
P38873
|
FINISHED |
| Object | 1915-05-01 |
—
|
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: 1915-05-01 | Statement: [Alfred Gwynne Vanderbilt, dateOfDisembarkation, 1915-05-01]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfDisembarkation Context triple: [Alfred Gwynne Vanderbilt, dateOfDisembarkation, 1915-05-01]
-
A.
departureYear
Indicates the calendar year in which an entity leaves, exits, or ceases its association with another entity or location.
-
B.
arrivalDateAtPlymouth
Indicates the date on which an entity arrives at Plymouth.
-
C.
expeditionDepartureDate
Indicates the date on which an expedition is scheduled to or actually does depart.
-
D.
placeOfDeparture
Indicates the location from which an entity, such as a person or vehicle, begins its journey or movement.
-
E.
undockingDate
Indicates the date on which one object or vehicle separates and moves away from another to which it was previously docked.
- 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_69a88917935081909b755dbf38e81024 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abcade3c808190ab3803538ccbe620 |
completed | March 7, 2026, 6:51 a.m. |
| PD | Predicate disambiguation | batch_69abc59616a8819099711834e6f1ccd6 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abcadd2a0c8190b6973d390e98bd66 |
completed | March 7, 2026, 6:51 a.m. |
Created at: March 4, 2026, 7:52 p.m.