Triple
T27150878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Customs House (Christiansted) |
E682384
|
entity |
| Predicate | functionDuringDanishRule |
P167318
|
FINISHED |
| Object | collection of customs duties |
—
|
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: collection of customs duties | Statement: [Customs House (Christiansted), functionDuringDanishRule, collection of customs duties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: functionDuringDanishRule Context triple: [Customs House (Christiansted), functionDuringDanishRule, collection of customs duties]
-
A.
hasNameInDanish
Indicates that an entity is associated with a specific name expressed in the Danish language.
-
B.
rulesDuring
Indicates that one entity holds authority or governance over another throughout a specified time period or interval.
-
C.
hasDanishNameMeaning
Indicates that an entity has a Danish name whose semantic meaning or etymology is being specified.
-
D.
orderPrecedenceInDenmark
Indicates that one entity holds a higher or lower formal rank or protocol priority than another within the Danish order of precedence.
-
E.
shortNameInDanish
Indicates that one entity is the short or abbreviated name of another entity when expressed in Danish.
- 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_69eefaceb2a08190b9659b7f730629f5 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f66a6468ec8190a43ed6cd8c797f42 |
completed | May 2, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f66598d6008190a7ca8ff80399fd34 |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 27, 2026, 9:14 a.m.