Triple
T2861774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 9th Army (Wehrmacht) |
E63337
|
entity |
| Predicate | primaryOperationalArea |
P7505
|
FINISHED |
| Object | central sector of the Eastern Front |
—
|
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: central sector of the Eastern Front | Statement: [9th Army (Wehrmacht), primaryOperationalArea, central sector of the Eastern Front]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryOperationalArea Context triple: [9th Army (Wehrmacht), primaryOperationalArea, central sector of the Eastern Front]
-
A.
primaryArea
Indicates that one entity is the main or most important area, domain, or field associated with another entity.
-
B.
primaryTerritory
Indicates that a specified area or region is the main or most important territory associated with an entity.
-
C.
primarySurveyArea
Indicates that a specified area is the main or principal region targeted or covered by a particular survey or data collection activity.
-
D.
fieldOfOperation
chosen
Indicates the domain, area, or scope within which an entity operates or carries out its primary activities.
-
E.
primaryServes
Indicates that one entity’s main or principal function is to serve, support, or provide service to another entity.
- 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_69ab4c41e8c08190a9e8f5249cc12610 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf8df8288190816767169ea7cbf9 |
completed | March 7, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69abdd123ec48190af50a1859aea50b7 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:02 p.m.