Triple
T5214681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Enterprise (NCC-1701-A) |
E117721
|
entity |
| Predicate | commandDivisionColor |
P26298
|
FINISHED |
| Object | gold |
—
|
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: gold | Statement: [USS Enterprise (NCC-1701-A), commandDivisionColor, gold]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commandDivisionColor Context triple: [USS Enterprise (NCC-1701-A), commandDivisionColor, gold]
-
A.
divisionColor
chosen
Indicates the color associated with a particular division or subgroup within a larger organization or structure.
-
B.
corpsColour
Indicates the specific color associated with a military corps or unit.
-
C.
heraldicDivision
Indicates the way a heraldic shield or field is partitioned into distinct sections or areas.
-
D.
teamColor
Indicates the association between a team and the color that represents or identifies it.
-
E.
serviceBranchColor
Indicates the specific color associated with a particular branch of service (e.g., military or organizational branch) as its identifying or representative 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_69bd4464ba3c8190bc16b2ebbe42ddb0 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a928dfc8190971a9e28d5c10446 |
completed | March 20, 2026, 4:49 p.m. |
| PD | Predicate disambiguation | batch_69bd77bb4e8c819094b5ac7cf61512f9 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:47 p.m.