Triple
T26821486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World War II-era 26th Infantry Division |
E675256
|
entity |
| Predicate | enteredGermany |
P87279
|
FINISHED |
| Object | 1945 |
—
|
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: 1945 | Statement: [World War II-era 26th Infantry Division, enteredGermany, 1945]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enteredGermany Context triple: [World War II-era 26th Infantry Division, enteredGermany, 1945]
-
A.
locatedInPartOfGermany
Indicates that one entity is geographically situated within a specific region or part of Germany.
-
B.
enteredCountry
chosen
Indicates that an entity has moved into or crossed the border to be physically present within a specified country.
-
C.
objectiveGermany
Indicates that an entity has Germany as its objective, target, or goal in a given context.
-
D.
oneOfGermanys
Indicates that something or someone belongs to the set of entities that are part of, originate from, or are associated with Germany.
-
E.
enteredCountryVia
Indicates that an entity came into a country using a specific entry point, route, or method.
- 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_69eee9b6b28481909332f83eb17e5170 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f6247480cc8190a887eedaeb94615c |
completed | May 2, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69f623a7539c8190b71797f583da9f63 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 4:55 a.m.