Triple
T21882881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterland |
E540332
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Watergang |
—
|
NE NERFINISHED |
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: Watergang | Statement: [Waterland, containsSettlement, Watergang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Watergang Context triple: [Waterland, containsSettlement, Watergang]
-
A.
Watergang
chosen
Watergang is a small village in the Dutch province of North Holland, known for its traditional polder landscape and characteristic waterways.
-
B.
Tankerness
Tankerness is a rural settlement on the Orkney Islands of Scotland, known for its agricultural landscape and archaeological sites.
-
C.
Sea-Snatch
Sea-Snatch is one of the short art songs in Samuel Barber’s song cycle Hermit Songs, Op. 29, setting an anonymous medieval Irish text to music.
-
D.
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.
-
E.
The Boat
The Boat is a renowned painting by Catalan modernist artist Ramon Casas, exemplifying his atmospheric style and interest in contemporary life.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f118e890088190aa3023c78a99a536 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 16, 2026, 7:05 p.m.