Triple
T8838230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Naroch Offensive |
E210320
|
entity |
| Predicate | defensiveAdvantage |
P13663
|
FINISHED |
| Object | well-prepared German positions |
—
|
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: well-prepared German positions | Statement: [Lake Naroch Offensive, defensiveAdvantage, well-prepared German positions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defensiveAdvantage Context triple: [Lake Naroch Offensive, defensiveAdvantage, well-prepared German positions]
-
A.
defensiveSkillEmphasized
Indicates that particular focus or priority is placed on developing or utilizing defensive skills in the relevant context.
-
B.
defensiveSuccess
Indicates that a defensive action successfully prevented or mitigated an opposing threat, attack, or adverse outcome.
-
C.
defensiveTactics
chosen
Indicates the use or implementation of strategies, maneuvers, or methods intended to protect, guard, or defend against threats or attacks.
-
D.
defensiveStructure
Indicates a relationship where one entity functions as a structure built or used to protect, defend, or fortify another entity or area.
-
E.
defensiveRole
Indicates that an entity serves a protective or guarding function in relation to another entity or context.
- 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_69ca8388549c819095fd94eadefbb007 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc606c60ac8190b2b6bd7f042c02f8 |
completed | April 1, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69cc5c25b874819084c9ba391703e066 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:48 p.m.