Triple
T1430364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1st Infantry Division |
E30429
|
entity |
| Predicate | roleAtBattleOfArnhem |
P28183
|
FINISHED |
| Object | British ground formation of the airborne assault |
—
|
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: British ground formation of the airborne assault | Statement: [1st Infantry Division, roleAtBattleOfArnhem, British ground formation of the airborne assault]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtBattleOfArnhem Context triple: [1st Infantry Division, roleAtBattleOfArnhem, British ground formation of the airborne assault]
-
A.
militaryRole
Indicates the specific function, position, or duty an entity holds within a military organization or context.
-
B.
roleAtStalingrad
Indicates the specific role, position, or function an entity held in relation to the Battle of Stalingrad.
-
C.
worldWarIIRole
Indicates the specific role, position, or function an entity had in relation to World War II.
-
D.
notableBattleRole
chosen
Indicates the specific role or function an entity played in a notable or historically significant battle.
-
E.
roleInSpanishCivilWar
Indicates the specific involvement or function an entity had in the context of the Spanish Civil War.
- 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_69a498fc69ec8190b61722bd4b67c4d2 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c500a9888190a16fbb1ec97a79c9 |
completed | March 1, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69a4c4771c9481908ae47c959debbe77 |
completed | March 1, 2026, 10:57 p.m. |
Created at: March 1, 2026, 8 p.m.