Triple
T14667512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyhavn 17 |
E344416
|
entity |
| Predicate | hasView |
P854
|
FINISHED |
| Object | Nyhavn harbor |
E68372
|
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: Nyhavn harbor | Statement: [Nyhavn 17, hasView, Nyhavn harbor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nyhavn harbor Context triple: [Nyhavn 17, hasView, Nyhavn harbor]
-
A.
Nyhavn
chosen
Nyhavn is a historic waterfront district in central Copenhagen known for its colorful 17th-century townhouses, canalside restaurants, and vibrant harbor atmosphere.
-
B.
Inner Harbor
Inner Harbor is the central, historically significant section of Boston Harbor that borders downtown Boston and serves as a major hub for maritime, commercial, and recreational activity.
-
C.
Inner Harbor
Inner Harbor is a historic waterfront district in Baltimore known for its revitalized piers, tourist attractions, shops, restaurants, and cultural institutions.
-
D.
Inner Harbor
Inner Harbor is the central, sheltered portion of Gloucester Harbor in Massachusetts, known for its busy fishing fleet, maritime industries, and waterfront activity.
-
E.
Inner Harbor
Inner Harbor is a key industrial and shipping channel within the Port of Corpus Christi in Texas, supporting major maritime and commercial activities.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb54dda1c8190bf16d17e26a2bba6 |
completed | April 14, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe968124d481909dd89dd9282788b7 |
completed | May 9, 2026, 2:05 a.m. |
Created at: April 10, 2026, 1:27 a.m.