Triple
T26237892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese defensive perimeter in the Central Pacific |
E656218
|
entity |
| Predicate | constructionFeatures |
P23657
|
FINISHED |
| Object | airfields |
—
|
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: airfields | Statement: [Japanese defensive perimeter in the Central Pacific, constructionFeatures, airfields]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constructionFeatures Context triple: [Japanese defensive perimeter in the Central Pacific, constructionFeatures, airfields]
-
A.
constructionCharacteristic
chosen
Indicates a specific structural or material property that characterizes how something is built or constructed.
-
B.
constructionType
Indicates the specific method or style by which something is built or constructed.
-
C.
featuresBuilding
Indicates that one entity includes or incorporates a building as a notable component or characteristic.
-
D.
constructionUses
Indicates that a construction activity, project, or structure makes use of a specified material, method, tool, or resource.
-
E.
constructionBase
Indicates that one entity serves as the foundational structure or base upon which another entity is constructed or built.
- 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_69ee5b4c59a881909d9ee4fd013fffd5 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f62d53ad58819080c5227c7a729d15 |
completed | May 2, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69f62c15952881908a5ea0c25904afec |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 26, 2026, 9:02 p.m.