Triple
T20033333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joshua Lawrence Chamberlain’s bayonet charge at Little Round Top |
E497193
|
entity |
| Predicate | directionOfAttack |
P70449
|
FINISHED |
| Object | downhill from Little Round Top |
—
|
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: downhill from Little Round Top | Statement: [Joshua Lawrence Chamberlain’s bayonet charge at Little Round Top, directionOfAttack, downhill from Little Round Top]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directionOfAttack Context triple: [Joshua Lawrence Chamberlain’s bayonet charge at Little Round Top, directionOfAttack, downhill from Little Round Top]
-
A.
primaryAdversaryDirection
Indicates the direction from an entity toward its main or most significant adversary.
-
B.
attackedFrom
chosen
Indicates that one entity initiated an attack against another entity originating from a specific source location or position.
-
C.
attackType
Indicates the specific method, style, or category of attack used in an aggressive or hostile action between entities.
-
D.
objectiveOfAttackers
Indicates the target or goal that attackers aim to reach or affect through their attack.
-
E.
directionOfEncirclement
Indicates the directional orientation (e.g., clockwise or counterclockwise) in which one entity surrounds or encircles another.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66293e3908190ade07ba9e09da803 |
completed | April 20, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69e54ce752748190a0a1ffddd0372271 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:36 p.m.