Triple
T30448974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UTA Flight 772 bombing |
E774656
|
entity |
| Predicate | memorialShape |
P174730
|
FINISHED |
| Object | aircraft silhouette outlined with dark stones |
—
|
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: aircraft silhouette outlined with dark stones | Statement: [UTA Flight 772 bombing, memorialShape, aircraft silhouette outlined with dark stones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memorialShape Context triple: [UTA Flight 772 bombing, memorialShape, aircraft silhouette outlined with dark stones]
-
A.
memorialType
Indicates the specific kind or category of memorial associated with an entity (e.g., plaque, statue, monument).
-
B.
memorialWork
Indicates that one entity is a commemorative work (such as a monument, plaque, or artwork) created to honor or remember another entity.
-
C.
memorialSiteFor
Indicates that a place or structure serves as a dedicated site of remembrance or commemoration for a particular person, group, or event.
-
D.
monumentType
Indicates the specific kind or category of monument that an entity is classified as.
-
E.
memorialLocatedAt
Indicates that a memorial is situated or found at a specific location.
- 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_69f22493ef9c8190ae8c2afcb7f994c8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6c5b7e46081909975b05f7298cc0e |
completed | May 3, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f6c49069e48190a3486b6254a6645b |
completed | May 3, 2026, 3:44 a.m. |
Created at: April 29, 2026, 8:09 p.m.