Triple
T31310497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fram |
E798449
|
entity |
| Predicate | originalPortOfRegistry |
P15455
|
FINISHED |
| Object | Christiania |
—
|
NE NERFINISHED |
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: Christiania | Statement: [Fram, originalPortOfRegistry, Christiania]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalPortOfRegistry Context triple: [Fram, originalPortOfRegistry, Christiania]
-
A.
portOfRegistryFor
chosen
Indicates that one entity serves as the official port where another entity (typically a vessel) is registered.
-
B.
portOfOrigin
Indicates the location from which something (such as a shipment or vessel) originally departs or is first sent.
-
C.
previousHomePort
Indicates that one location served as the earlier or former home port of a vessel or entity before its current home port.
-
D.
countryOfRegistry
Indicates the country in which an entity (such as a ship, aircraft, or company) is officially registered.
-
E.
portOfLoading
Indicates the location where goods are initially loaded onto a vessel or transport vehicle for shipment.
- 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_69f224e1932c81908fef14f7b03a10b7 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a00a602b6b48190a9dea8ae22d2fa05 |
completed | May 10, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_6a00a559bf3881909a7b50776d8f47bb |
completed | May 10, 2026, 3:33 p.m. |
Created at: April 29, 2026, 9:15 p.m.