Triple
T12519601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Patrick's Battalion |
E299279
|
entity |
| Predicate | numberOfMembersExecuted |
P105424
|
FINISHED |
| Object | dozens |
—
|
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: dozens | Statement: [Saint Patrick's Battalion, numberOfMembersExecuted, dozens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMembersExecuted Context triple: [Saint Patrick's Battalion, numberOfMembersExecuted, dozens]
-
A.
someMembersExecutedOn
Indicates that at least one member of a group was subjected to execution in relation to a specified event or context.
-
B.
numberOfMembersReturned
Indicates the quantity of members that are provided or yielded as a result of an operation or query.
-
C.
someMembersExecutedAt
Indicates that some, but not necessarily all, members of a group were subjected to execution at a particular time or place.
-
D.
numberOfExecutions
Indicates the count of times a particular action, process, or event has been carried out.
-
E.
numberOfKnownMembers
Indicates the count of members within a group or set whose identities are known or have been explicitly determined.
- F. None of above. chosen
Provenance (4 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| PD | Predicate disambiguation | batch_69d954096af88190b6be81b008c82139 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d954b715fc819091fa84430be46273 |
completed | April 10, 2026, 7:51 p.m. |
Created at: April 8, 2026, 9:57 p.m.