Triple
T768619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dedication of the Soldiers' National Cemetery |
E16229
|
entity |
| Predicate | hasDay |
P12447
|
FINISHED |
| Object | 19 |
—
|
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: 19 | Statement: [Dedication of the Soldiers' National Cemetery, hasDay, 19]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDay Context triple: [Dedication of the Soldiers' National Cemetery, hasDay, 19]
-
A.
hasDays
chosen
Indicates that an entity is associated with, spans, or occurs on specific days.
-
B.
hasMonth
Indicates that something is associated with, occurs in, or is assigned to a specific month.
-
C.
observesDay
Indicates that an entity recognizes, commemorates, or practices a particular day (such as a holiday, event, or observance) according to some calendar or tradition.
-
D.
designatedDayFor
Indicates that a specific day is officially assigned or reserved for a particular purpose, event, or activity.
-
E.
hasAct
Indicates that an entity performs, participates in, or is associated with a specific act or action.
- 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_69a49369a0848190af883934cee3db4c |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a765ba688190ab328bb159583077 |
completed | March 1, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69a4a5074c788190a74fc20ad24e2d26 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.