Triple
T8582969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XXXV Army Corps |
E203228
|
entity |
| Predicate | participatedWith |
P4470
|
FINISHED |
| Object | Italian forces on the Eastern Front |
—
|
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 forces on the Eastern Front | Statement: [XXXV Army Corps, participatedWith, Italian forces on the Eastern Front]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: participatedWith Context triple: [XXXV Army Corps, participatedWith, Italian forces on the Eastern Front]
-
A.
participatedInEvent
Indicates that an entity took part in or was actively involved in a specific event.
-
B.
hasBeenInvolvedIn
Indicates that an entity has participated in, taken part in, or been connected to a particular event, activity, or situation.
-
C.
participation
chosen
Indicates that an entity takes part in, contributes to, or is involved in a shared activity, event, or process with others.
-
D.
invitesParticipationOf
Indicates that one entity actively requests or encourages another entity to take part in an activity, event, or process.
-
E.
endedParticipationOf
Indicates that one entity caused or marked the termination of another entity’s involvement in an activity, event, or relationship.
- 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_69ca8329bb7c8190a63c643730839103 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbeb1d0edc8190b4495935275252f3 |
completed | March 31, 2026, 3:41 p.m. |
| PD | Predicate disambiguation | batch_69cbd11b13108190b07f8f161425a585 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:22 p.m.