Triple
T74907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wehrmacht |
E1498
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Heer |
E9485
|
NE 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: Heer | Statement: [Wehrmacht, hasPart, Heer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heer Context triple: [Wehrmacht, hasPart, Heer]
-
A.
Heer
chosen
The Heer was the land-based component of Nazi Germany’s armed forces, serving as its primary army during World War II.
-
B.
Gweru
Gweru is a central Zimbabwean city that serves as the capital of the Midlands Province and an important commercial and transportation hub.
-
C.
Willem
Willem is a given name, primarily used in Dutch-speaking regions, that corresponds to the English name William.
-
D.
Fida'i
Fida'i is the national anthem of the State of Palestine, expressing Palestinian identity, struggle, and aspirations for freedom and self-determination.
-
E.
Bader
Bader is the maiden surname of Ruth Bader Ginsburg, the late U.S. Supreme Court Justice and pioneering advocate for gender equality.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a24c60d19c8190a1b6c105ca59ef5b |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a24f1b99a48190aec004ecd49b4a0d |
completed | Feb. 28, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a29178a7348190a8cb9096ddc7c53e |
completed | Feb. 28, 2026, 6:55 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.