Triple
T13897482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Lagoon (Jamaica) |
E334124
|
entity |
| Predicate | hasColorVariation |
P14111
|
FINISHED |
| Object | shades of blue and green |
—
|
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: shades of blue and green | Statement: [Blue Lagoon (Jamaica), hasColorVariation, shades of blue and green]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColorVariation Context triple: [Blue Lagoon (Jamaica), hasColorVariation, shades of blue and green]
-
A.
colorVarietyOf
Indicates that one entity represents a specific color variant or color option of another entity.
-
B.
hasColorOption
chosen
Indicates that an entity offers or supports a particular color as one of its selectable options.
-
C.
hasVarietyOf
Indicates that an entity possesses or offers multiple different types, forms, or versions of something.
-
D.
laterColorVariant
Indicates that one entity is a color variant that appeared or was introduced after the other entity in time.
-
E.
colorVarietyCount
Indicates the number of distinct colors associated with or present in a given entity or set of entities.
- 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de25d72c6c819093bf9c43136839d4 |
completed | April 14, 2026, 11:32 a.m. |
| PD | Predicate disambiguation | batch_69dd464b1ab48190ae50bfc902bf6ef7 |
completed | April 13, 2026, 7:38 p.m. |
Created at: April 9, 2026, 10:15 p.m.