Triple
T1750152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 88 mm Flak gun |
E38420
|
entity |
| Predicate | couldBeEmplacedAs |
P2463
|
FINISHED |
| Object | static air-defense position |
—
|
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: static air-defense position | Statement: [88 mm Flak gun, couldBeEmplacedAs, static air-defense position]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: couldBeEmplacedAs Context triple: [88 mm Flak gun, couldBeEmplacedAs, static air-defense position]
-
A.
canBe
chosen
Indicates that one entity has the potential, permission, or capability to become, perform as, or be classified as another entity.
-
B.
canBeEmbeddedIn
Indicates that one entity can be inserted or integrated within another entity, typically preserving structure or compatibility.
-
C.
canAlsoBe
Indicates that something has an additional possible state, role, or classification beyond its primary one.
-
D.
canBeRemovedBy
Indicates that one entity is capable of eliminating, detaching, or undoing another entity or its effect.
-
E.
canBeConstructedWith
Indicates that one entity can be formed, built, or assembled using another entity as material, components, or means.
- 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_69a8862bdb2081908aefe831c8aa8017 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aba6a63f588190b53b39c6b97d74f4 |
completed | March 7, 2026, 4:16 a.m. |
| PD | Predicate disambiguation | batch_69aa61c7ef4c8190abec87c96a787d82 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.