Triple
T5653591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wasdale |
E124562
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Wast Water |
E120950
|
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: Wast Water | Statement: [Wasdale, contains, Wast Water]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wast Water Context triple: [Wasdale, contains, Wast Water]
-
A.
Wast Water
chosen
Wast Water is a deep, glacial lake in England’s Lake District, renowned for its dramatic surrounding peaks and remote, rugged scenery.
-
B.
H2O
H2O is a 1982 pop-rock album by American duo Daryl Hall & John Oates, featuring hits like "Maneater" that helped cement their commercial peak in the early 1980s.
-
C.
W.A.S.T.E.
W.A.S.T.E. is a mysterious underground postal system and countercultural network that plays a central symbolic role in Thomas Pynchon's novel *The Crying of Lot 49*.
-
D.
Waters
Waters is a common English surname borne by numerous individuals across various professions and regions.
-
E.
SWW
SWW is the common abbreviation for the Schwenninger Wild Wings, a professional ice hockey team based in Schwenningen, Germany.
- 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_69c00825df388190a58742fa9b1aa33d |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022f7efec8190946c925130176d5a |
completed | March 22, 2026, 5:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a255f348190abe3c09fe0b38f45 |
completed | March 22, 2026, 9:07 p.m. |
Created at: March 22, 2026, 3:42 p.m.