Triple
T25479420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buttes New British Cemetery |
E638522
|
entity |
| Predicate | commemoratesBattlefieldRegion |
P60831
|
FINISHED |
| Object | Flanders Fields |
—
|
NE NERFINISHED |
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: Flanders Fields | Statement: [Buttes New British Cemetery, commemoratesBattlefieldRegion, Flanders Fields]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commemoratesBattlefieldRegion Context triple: [Buttes New British Cemetery, commemoratesBattlefieldRegion, Flanders Fields]
-
A.
regionOfBattlesCommemorated
chosen
Indicates the geographic region where the battles being commemorated took place.
-
B.
commemoratesConflict
Indicates a relationship where something (such as a monument, event, or work) serves to remember, honor, or mark a specific conflict or war.
-
C.
commemoratesFromCountry
Indicates that one entity serves as a commemoration (such as a memorial, event, or honor) originating from or established by a specified country.
-
D.
commemoratedIn
Indicates that something is honored, remembered, or recognized within a particular work, event, place, or medium.
-
E.
commemoratesToCountry
Indicates that something serves as a memorial or tribute to a particular 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_69e75dbabeac8190bab30628f8b799d4 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f775776881909086b4249307c522 |
completed | May 2, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69f4a0f7c6008190ae8cee3e71e19b94 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 21, 2026, 2:30 p.m.