Triple
T31552407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nubble Light |
E805039
|
entity |
| Predicate | seasonalDecoration |
P13976
|
FINISHED |
| Object | decorated with holiday lights in winter |
—
|
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: decorated with holiday lights in winter | Statement: [Nubble Light, seasonalDecoration, decorated with holiday lights in winter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonalDecoration Context triple: [Nubble Light, seasonalDecoration, decorated with holiday lights in winter]
-
A.
hasSeasonalDecorations
chosen
Indicates that an entity is adorned with decorations that are specific to a particular season or holiday period.
-
B.
decorations
Indicates that one entity adds, provides, or serves as ornamental or decorative elements for another entity.
-
C.
decoration
Indicates that one entity serves as an ornament or embellishing element for another entity, enhancing its appearance or style.
-
D.
decorationCategory
Indicates the classification or type of decoration that an item, element, or space belongs to.
-
E.
decorationsReceived
Indicates that an entity has been awarded or has obtained one or more decorations, honors, or ceremonial adornments from another entity or source.
- 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_69f348d22e088190ad555d5bd42f9da0 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
Created at: April 30, 2026, 10:11 p.m.