Triple
T2030572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Vimy Ridge |
E44505
|
entity |
| Predicate | defensiveWorks |
P8412
|
FINISHED |
| Object | German trenches and concrete machine-gun nests |
—
|
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: German trenches and concrete machine-gun nests | Statement: [Battle of Vimy Ridge, defensiveWorks, German trenches and concrete machine-gun nests]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defensiveWorks Context triple: [Battle of Vimy Ridge, defensiveWorks, German trenches and concrete machine-gun nests]
-
A.
defensiveStructure
chosen
Indicates a relationship where one entity functions as a structure built or used to protect, defend, or fortify another entity or area.
-
B.
defensiveOperation
Indicates actions or measures undertaken to protect, guard, or defend a target against threats or attacks.
-
C.
defends
Indicates that one entity protects or supports another entity against attack, criticism, or harm.
-
D.
defensiveTask
Indicates a task in which an entity protects, guards, or defends another entity or resource from potential threats or harm.
-
E.
defender
Indicates a relationship where one entity protects, guards, or supports another entity against threats, attacks, or criticism.
- 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_69a889144f2481909932f0746a93023d |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb915c9548190809d08c4d67466fb |
completed | March 7, 2026, 5:35 a.m. |
| PD | Predicate disambiguation | batch_69abb7a656248190ac2ced196b35bc6b |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:38 p.m.