Triple
T18329922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Puka Puka |
E439110
|
entity |
| Predicate | associatedDecorationStatus |
P45754
|
FINISHED |
| Object | highly decorated unit |
—
|
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: highly decorated unit | Statement: [One Puka Puka, associatedDecorationStatus, highly decorated unit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedDecorationStatus Context triple: [One Puka Puka, associatedDecorationStatus, highly decorated unit]
-
A.
relatedDecoration
Indicates that one decoration is associated with, complements, or is contextually linked to another decoration.
-
B.
associatedStatus
chosen
Indicates that one entity is linked to or characterized by a particular status or condition.
-
C.
containsDecorationFrom
Indicates that one entity includes or incorporates a decorative element that originates from another entity.
-
D.
hasDecor
Indicates that one entity possesses, features, or is adorned with a particular decorative element or style.
-
E.
isStateDecoration
Indicates that an item is an official decoration or honor conferred by a state or government authority.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ec900808190bc4468270e0957c1 |
completed | April 19, 2026, 5:20 p.m. |
| PD | Predicate disambiguation | batch_69e44fe91bc08190906518e1b120fcf0 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:36 a.m.