Triple
T12669251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Enterprise-D |
E302632
|
entity |
| Predicate | scienceMedicalDivisionColor |
P26298
|
FINISHED |
| Object | blue |
—
|
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: blue | Statement: [USS Enterprise-D, scienceMedicalDivisionColor, blue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scienceMedicalDivisionColor Context triple: [USS Enterprise-D, scienceMedicalDivisionColor, blue]
-
A.
serviceBranchColor
Indicates the specific color associated with a particular branch of service (e.g., military or organizational branch) as its identifying or representative color.
-
B.
designatedAsFlagshipHospitalFor
Indicates that one hospital has been officially selected or recognized as the primary or leading flagship institution for another entity (such as a health system, region, or organization).
-
C.
divisionColor
chosen
Indicates the color associated with a particular division or subgroup within a larger organization or structure.
-
D.
colorTincture
Indicates that one entity has a specific heraldic color or tincture applied to it.
-
E.
colorTreatment
Indicates that an entity has undergone a process or action that changes, enhances, or assigns its color.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ae493481908f82e0d05dce20bd |
completed | April 10, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69d960bb64ec8190bd0400cf0cc8b0a7 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:20 p.m.