Triple
T5956273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deerness and Tankerness moorlands |
E132522
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Tankerness |
E512677
|
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: Tankerness | Statement: [Deerness and Tankerness moorlands, locatedIn, Tankerness]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tankerness Context triple: [Deerness and Tankerness moorlands, locatedIn, Tankerness]
-
A.
Tankerness
chosen
Tankerness is a rural settlement on the Orkney Islands of Scotland, known for its agricultural landscape and archaeological sites.
-
B.
Rusty Trawler
Rusty Trawler is a wealthy, socially prominent yet somewhat ridiculous character in Truman Capote’s novella "Breakfast at Tiffany’s."
-
C.
Watergang
Watergang is a small village in the Dutch province of North Holland, known for its traditional polder landscape and characteristic waterways.
-
D.
Follow the Fleet
Follow the Fleet is a 1936 Hollywood musical film starring Fred Astaire and Ginger Rogers, known for its dance sequences, romantic comedy plot, and classic Irving Berlin songs.
-
E.
The Seafarers
The Seafarers is a 1953 short documentary film and one of Stanley Kubrick’s early non-fiction works, focusing on the lives and organization of merchant seamen.
- 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_69c0086b05cc8190a8f36a96927a525c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c039c1de80819085c97a0aa2d37f32 |
completed | March 22, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e3dd99888190ac3eeef692a7d879 |
completed | March 23, 2026, 6:55 a.m. |
Created at: March 22, 2026, 4:02 p.m.