Triple
T5057848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fredericia |
E113948
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Little Belt |
E179745
|
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: Little Belt | Statement: [Fredericia, locatedOn, Little Belt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Little Belt Context triple: [Fredericia, locatedOn, Little Belt]
-
A.
Little Belt
chosen
Little Belt is a narrow strait in Denmark that separates the island of Funen from the Jutland Peninsula and connects the Baltic Sea with the Kattegat.
-
B.
Lochnagar
Lochnagar is a prominent mountain in the Cairngorms of Scotland, famed for its dramatic north-facing corrie and connections to royal Deeside.
-
C.
Port Tennant
Port Tennant is a residential and industrial district of Swansea in South Wales, situated near the city’s docks and eastern waterfront.
-
D.
Schley
Schley is a surname of German origin borne by various notable individuals, including American politicians and military figures.
-
E.
The Helena
The Helena is a prominent eco-friendly luxury residential skyscraper in Manhattan, New York City, developed by The Durst Organization.
- 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_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74523434819092b8b15992073b5b |
completed | March 20, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea48fa2dc8190810eebc136d4859a |
completed | March 21, 2026, 2 p.m. |
Created at: March 20, 2026, 1:38 p.m.