Triple
T4385041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Falmouth, Maine (then part of Massachusetts Bay Colony) |
E99220
|
entity |
| Predicate | repeatedlyAttackedBy |
P18691
|
FINISHED |
| Object | French forces |
—
|
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: French forces | Statement: [Falmouth, Maine (then part of Massachusetts Bay Colony), repeatedlyAttackedBy, French forces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: repeatedlyAttackedBy Context triple: [Falmouth, Maine (then part of Massachusetts Bay Colony), repeatedlyAttackedBy, French forces]
-
A.
attackedIn
Indicates that one entity carried out an attack in the location, context, or time frame specified by another entity or value.
-
B.
wasAttackedInYear
Indicates that an entity was the target of an attack that occurred in the specified year.
-
C.
assaultedBy
chosen
Indicates that an entity has been attacked or subjected to violent physical aggression by another entity.
-
D.
wasBombardedDuring
Indicates that an entity was subjected to a bombardment (e.g., shelling, bombing, or heavy attack) during a specified event or time period.
-
E.
wasInvadedBy
Indicates that a place or territory was subjected to an incursion or attack carried out by 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_69b3454f739481909ff6c28331f0c0b9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35264e44c81908dd0e0a81f1353bb |
completed | March 12, 2026, 11:55 p.m. |
| PD | Predicate disambiguation | batch_69b34f572efc8190bad1e5078cbcb75a |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:19 p.m.