Triple
T22345985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comet Line |
E552391
|
entity |
| Predicate | helpedGroup |
P108329
|
FINISHED |
| Object | downed Allied airmen |
—
|
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: downed Allied airmen | Statement: [Comet Line, helpedGroup, downed Allied airmen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpedGroup Context triple: [Comet Line, helpedGroup, downed Allied airmen]
-
A.
socialGroupBenefited
chosen
Indicates that a particular social group gains an advantage, improvement, or positive impact as a result of an action, event, or resource.
-
B.
helpedTeamTo
Indicates that one entity provided assistance or support to a team in achieving a task, goal, or outcome.
-
C.
helpedCause
Indicates that one entity contributed to bringing about, enabling, or facilitating an outcome or event involving another entity.
-
D.
helpsIn
Indicates that one entity provides assistance, support, or aid to another entity in performing or achieving a particular task, activity, or goal.
-
E.
ethnicGroupHelped
Indicates that one ethnic group provided assistance or support to another entity or group.
- 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_69e11e494eec81909c4d2d51f69499d9 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157981c0881909ac74d68b99075c2 |
completed | April 29, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69e7300c20088190a59e5bf9e70384f3 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:43 p.m.