Triple
T4641222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italian War Cemetery at El Alamein |
E101659
|
entity |
| Predicate | burialsOf |
P25054
|
FINISHED |
| Object | Italian soldiers |
—
|
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: Italian soldiers | Statement: [Italian War Cemetery at El Alamein, burialsOf, Italian soldiers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: burialsOf Context triple: [Italian War Cemetery at El Alamein, burialsOf, Italian soldiers]
-
A.
burials
chosen
Indicates that one entity is interred or laid to rest in a grave or burial site associated with another entity.
-
B.
hasBurialsFrom
Indicates that a location or site contains burials originating from a specified time period, culture, or source.
-
C.
burialPlace
Indicates the location where a person or entity is buried.
-
D.
numberOfBurials
Indicates the total count of burial events associated with a given entity.
-
E.
burialsUntil
Indicates the number of burial events that remain or are scheduled to occur up to a specified point in time or condition.
- 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_69bd43d3bc7c81908f81fcf380476b0f |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a91b7748190b0b080af76e7b39f |
completed | March 20, 2026, 2:32 p.m. |
| PD | Predicate disambiguation | batch_69bd5234d24c819095c79890b70eff9a |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:14 p.m.