Triple
T7710886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christiansted |
E174746
|
entity |
| Predicate | dateOfTransferToUnitedStates |
P16391
|
FINISHED |
| Object | 1917 |
—
|
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: 1917 | Statement: [Christiansted, dateOfTransferToUnitedStates, 1917]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfTransferToUnitedStates Context triple: [Christiansted, dateOfTransferToUnitedStates, 1917]
-
A.
dateTransmittedToUS
Indicates the date on which something (such as information, data, or a document) was sent or conveyed to the United States.
-
B.
immigratedOn
Indicates that an entity moved to and settled in a new country or region on a specific date.
-
C.
UNSeatTransferDate
Indicates the date on which a seat is transferred from one holder to another.
-
D.
dateBecameOverseasProvince
chosen
Indicates the date on which an entity officially attained the status of an overseas province.
-
E.
officeTransferredAt
Indicates the time or date at which an office (or official position) was transferred from one holder or location to another.
- 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_69c6995b3e8c8190833108f883d5f53c |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ebb7448190ae8d47fe0cbb0907 |
completed | March 27, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69c701683dec8190be9861e592aa8ce0 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:04 p.m.