Triple
T5149657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Angle |
E116161
|
entity |
| Predicate | hasRoleInBattle |
P23441
|
FINISHED |
| Object | focal point of Pickett's Charge |
—
|
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: focal point of Pickett's Charge | Statement: [The Angle, hasRoleInBattle, focal point of Pickett's Charge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoleInBattle Context triple: [The Angle, hasRoleInBattle, focal point of Pickett's Charge]
-
A.
allyInBattle
Indicates that two or more entities cooperate on the same side as partners during a specific battle or combat situation.
-
B.
hasKeyBattle
Indicates that an entity is associated with a major or decisive battle that is central to its history, role, or significance.
-
C.
hasCombatantSide
Indicates a relationship where a conflict, battle, or war is associated with one of the participating sides or factions involved in the combat.
-
D.
associatedWithBattle
chosen
Indicates a relationship where an entity is connected or linked to a specific battle, such as by participation, relevance, or involvement.
-
E.
hasSubBattle
Indicates that a larger battle or conflict includes a smaller, constituent battle as part of its overall engagement.
- 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78d7f4d081908d59adcd86f52f1d |
completed | March 20, 2026, 4:42 p.m. |
| PD | Predicate disambiguation | batch_69bd77ae2f10819098bb8939106e1281 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:43 p.m.