Triple
T2744836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luxembourg American Cemetery and Memorial |
E60840
|
entity |
| Predicate | PattonGraveLocation |
P3802
|
FINISHED |
| Object | front of the main burial area |
—
|
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: front of the main burial area | Statement: [Luxembourg American Cemetery and Memorial, PattonGraveLocation, front of the main burial area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PattonGraveLocation Context triple: [Luxembourg American Cemetery and Memorial, PattonGraveLocation, front of the main burial area]
-
A.
memorialLocatedAt
Indicates that a memorial is situated or found at a specific location.
-
B.
burialPlace
Indicates the location where a person or entity is buried.
-
C.
countryOfBurial
Indicates the country in which a person or entity is buried.
-
D.
locatedInCemetery
chosen
Indicates that one entity is situated within the grounds or area of a cemetery.
-
E.
memorialOpenedInYear
Indicates that a memorial was officially opened or inaugurated in a specified calendar year.
- 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_69ab4b79846081909096725374d65ce9 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb4d37a481908cc2ad4666f3ac94 |
completed | March 7, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69abd829f1e88190aab1d54f87c69714 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:56 p.m.