Triple
T33107309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wittdün auf Amrum |
E847221
|
entity |
| Predicate | servesFerriesFrom |
P15716
|
FINISHED |
| Object | Dagebüll |
—
|
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: Dagebüll | Statement: [Wittdün auf Amrum, servesFerriesFrom, Dagebüll]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesFerriesFrom Context triple: [Wittdün auf Amrum, servesFerriesFrom, Dagebüll]
-
A.
hasFerryService
Indicates that there is an operational ferry connection or transport service available between the related locations or entities.
-
B.
hasFerryPort
chosen
Indicates that a place serves as a location where ferries regularly dock to load and unload passengers or cargo.
-
C.
hasNearbyFerryPort
Indicates that one location is situated close enough to another location that serves as a ferry port to be considered nearby.
-
D.
bodyOfWaterCrossedByFerry
Indicates that a body of water is traversed or crossed by a ferry service.
-
E.
ferryServiceName
Indicates the specific name assigned to a ferry service operating between locations.
- 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_69f3495686508190b76bf20fa5e00bf7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff4fc6077c8190b8fd9b43fcfde986 |
completed | May 9, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69ff4e61fb648190a72f7918961ece9c |
completed | May 9, 2026, 3:10 p.m. |
Created at: May 1, 2026, 1:26 a.m.