Triple
T4640438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Grand Pré (1747) |
E101640
|
entity |
| Predicate | garrisonAttacked |
P57540
|
FINISHED |
| Object | New England regiment under Arthur Noble |
—
|
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: New England regiment under Arthur Noble | Statement: [Battle of Grand Pré (1747), garrisonAttacked, New England regiment under Arthur Noble]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: garrisonAttacked Context triple: [Battle of Grand Pré (1747), garrisonAttacked, New England regiment under Arthur Noble]
-
A.
garrisonDuringBattle
Indicates that an entity is stationed to defend or hold a location specifically during the time a battle is taking place.
-
B.
garrisonDuringWar
Indicates that a military force is stationed in a specific location for defense or control during a time of war.
-
C.
garrisonTown
Indicates that a town serves as a military base or station where armed forces are permanently or regularly housed.
-
D.
garrisonSide
Indicates the side, faction, or allegiance that a garrison is associated with or belongs to.
-
E.
garrisonDuty
Indicates a relationship where an entity is assigned to stay and defend or guard a specific location as part of its military or protective duties.
- 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_69bd43d3bc7c81908f81fcf380476b0f |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a8fbd2c8190b593cd46ce8dfe0f |
completed | March 20, 2026, 2:32 p.m. |
| PD | Predicate disambiguation | batch_69bd5234d24c819095c79890b70eff9a |
completed | March 20, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69bd56b5f4648190834eafa666d53caa |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:14 p.m.