Triple
T6402345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dueodde Beach |
E144092
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Dueodde |
E126784
|
NE 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: Dueodde | Statement: [Dueodde Beach, nearbySettlement, Dueodde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dueodde Context triple: [Dueodde Beach, nearbySettlement, Dueodde]
-
A.
Dueodde
chosen
Dueodde is a coastal village on the Danish island of Bornholm, renowned for its exceptionally fine white sand beaches and scenic dunes.
-
B.
Domnei
Domnei is a 1913 fantasy romance novel by James Branch Cabell, set in his imaginary medieval realm and noted for its ornate prose and ironic treatment of chivalric ideals.
-
C.
Odda
Odda is a town in western Norway known for its dramatic fjord landscape, industrial heritage, and proximity to popular hiking destinations like Trolltunga.
-
D.
Enodia
Enodia is an epithet of the Greek goddess Hecate that emphasizes her role as a protector and guide along roads, thresholds, and liminal spaces.
-
E.
Doala
Doala is the acrobatic blue koala mascot of Japan’s Chunichi Dragons baseball team, known for his comedic backflips and eccentric performances.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c008dc56fc81908d43ffcc11d73bdd |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c068ade8c881908a0472f1de6b7c21 |
completed | March 22, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c638a6e6248190bda7ad3fbd8f4746 |
completed | March 27, 2026, 7:58 a.m. |
Created at: March 22, 2026, 4:35 p.m.