Triple
T65056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dealey Plaza |
E1293
|
entity |
| Predicate | hasCommemorativePlaque |
P501
|
FINISHED |
| Object | John F. Kennedy memorial markers on Elm Street |
—
|
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: John F. Kennedy memorial markers on Elm Street | Statement: [Dealey Plaza, hasCommemorativePlaque, John F. Kennedy memorial markers on Elm Street]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommemorativePlaque Context triple: [Dealey Plaza, hasCommemorativePlaque, John F. Kennedy memorial markers on Elm Street]
-
A.
commemoratedBy
Indicates that something is honored, remembered, or celebrated through a particular action, event, object, or representation.
-
B.
commemoratedOn
Indicates that something is remembered, honored, or celebrated on a specific date or occasion.
-
C.
hasMemorial
chosen
Indicates that a memorial exists in honor of, or dedicated to, a particular entity.
-
D.
commemorationDate
Indicates the date on which an event, person, or occasion is formally remembered or honored.
-
E.
commemoratesFromCountry
Indicates that one entity serves as a commemoration (such as a memorial, event, or honor) originating from or established by a specified country.
- 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_69a24ba4f760819081f6638a3c70538a |
completed | Feb. 28, 2026, 1:57 a.m. |
| NER | Named-entity recognition | batch_69a2516eda54819090f5c14384d4eab1 |
completed | Feb. 28, 2026, 2:22 a.m. |
| PD | Predicate disambiguation | batch_69a24ea5c140819080409a968c8d2ce8 |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:02 a.m.