Triple
T26955204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Byrkjedal |
E678882
|
entity |
| Predicate | hasTravelType |
P186949
|
FINISHED |
| Object | road-accessible rural destination |
—
|
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: road-accessible rural destination | Statement: [Byrkjedal, hasTravelType, road-accessible rural destination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTravelType Context triple: [Byrkjedal, hasTravelType, road-accessible rural destination]
-
A.
hasTravelNetwork
Indicates that one entity possesses, manages, or is connected through a system or infrastructure enabling travel or transportation between locations.
-
B.
traveledAs
Indicates that an entity moved from one place to another in the role, capacity, or identity specified by another entity (e.g., as a tourist, as a representative, as a refugee).
-
C.
isFlownOn
Indicates that an entity (such as a person or object) travels or is transported using a particular aircraft or airline as the means of flight.
-
D.
hasNotableTraveler
Indicates that an entity is associated with a traveler who is considered notable or significant in some recognized way.
-
E.
oftenTravelsWith
Indicates that one entity frequently accompanies another entity when traveling or moving between places.
- 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_69eeeb4e75f08190b14fc91ca4a91488 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
| PDg | Predicate description generation | batch_69fb2e9309fc81909dfefd9020d6fbad |
completed | May 6, 2026, 12:05 p.m. |
Created at: April 27, 2026, 6:27 a.m.