Triple
T7231689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Homeland Security Advisory System |
E154917
|
entity |
| Predicate | colorForSevere |
P46606
|
FINISHED |
| Object | Red |
—
|
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: Red | Statement: [Homeland Security Advisory System, colorForSevere, Red]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorForSevere Context triple: [Homeland Security Advisory System, colorForSevere, Red]
-
A.
crestColor
Indicates the color characteristic of an entity’s crest.
-
B.
capeColor
Indicates the color attribute associated with a cape worn or possessed by an entity.
-
C.
colorHasMeaning
chosen
Indicates that a particular color is associated with or conveys a specific meaning, symbolism, or significance.
-
D.
colorCharge
Indicates a relationship where an entity possesses a specific quantum color charge (such as red, green, or blue) in the context of strong nuclear interactions.
-
E.
colourRole
Indicates that one entity serves a specific functional or contextual role defined in terms of colour in relation to another entity.
- 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_69c68811dd1c8190ac460bb39e64e1f0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea552a688190a00f5d0ad982f787 |
completed | March 27, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69c6e7644648819096a5e2de5d0dbe97 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:54 p.m.