Triple
T34986051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Type-11 shuttlecraft |
E1008948
|
entity |
| Predicate | registryContext |
P182171
|
FINISHED |
| Object | USS Enterprise-E shuttle complement |
—
|
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: USS Enterprise-E shuttle complement | Statement: [Type-11 shuttlecraft, registryContext, USS Enterprise-E shuttle complement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: registryContext Context triple: [Type-11 shuttlecraft, registryContext, USS Enterprise-E shuttle complement]
-
A.
registrationContext
Indicates the situational or environmental context under which a registration event occurs, such as conditions, purpose, or setting.
-
B.
regionContext
Indicates the broader geographic or spatial setting within which an entity, event, or relationship is situated or interpreted.
-
C.
registryType
Indicates the specific category or classification of a registry that an entity is associated with or recorded in.
-
D.
registryDependency
Indicates that one entity depends on another entity being registered or present in a registry in order to function or be valid.
-
E.
ringSystemContext
Indicates that an entity’s ring system is being described or analyzed within a specific contextual framework (such as observational, physical, or environmental conditions).
- F. None of above. chosen
Provenance (4 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_69f76dc844a48190881951fffb83d17e |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78710282c81909146dc0be91e983f |
completed | May 3, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f784162134819098413482ef52042f |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f7870dfe108190996c0c68630edc7f |
completed | May 3, 2026, 5:34 p.m. |
Created at: May 3, 2026, 4:01 p.m.