Triple
T28391771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fremont Cannon |
E719172
|
entity |
| Predicate | colorWhenHeldByUNLV |
P171458
|
FINISHED |
| Object | scarlet |
—
|
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: scarlet | Statement: [Fremont Cannon, colorWhenHeldByUNLV, scarlet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorWhenHeldByUNLV Context triple: [Fremont Cannon, colorWhenHeldByUNLV, scarlet]
-
A.
colorWhenHeldByNevada
Indicates the color an entity appears or is designated as specifically when it is held by Nevada.
-
B.
colorWhenHeldByUSC
Indicates the color an entity appears or is designated as when it is held, possessed, or controlled by USC.
-
C.
colorAtUnveiling
Indicates the color an object or item had at the specific moment it was first revealed or unveiled.
-
D.
colorUse
Indicates that one entity uses, applies, or is associated with a particular color in its appearance, design, or representation.
-
E.
colorStates
Indicates that an entity has or is associated with one or more specific color conditions or statuses.
- 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_69eff6ef211081909d31d9be5f5567e6 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f69f80b62c8190bf2af2be0d3a7df8 |
completed | May 3, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69f69d17e8d48190b30bcc2f4bd81eb2 |
completed | May 3, 2026, 12:55 a.m. |
| PDg | Predicate description generation | batch_69f69edae2448190925ce701c8792c52 |
completed | May 3, 2026, 1:03 a.m. |
Created at: April 28, 2026, 1:14 a.m.