Triple
T4473751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volga–Baltic Waterway |
E98556
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | White Lake |
E754143
|
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: White Lake | Statement: [Volga–Baltic Waterway, hasPart, White Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: White Lake Context triple: [Volga–Baltic Waterway, hasPart, White Lake]
-
A.
White Lake
White Lake is a small resort town and natural freshwater lake in southeastern North Carolina known for its clear, spring-fed waters and recreational tourism.
-
B.
White Lake
chosen
White Lake is a large freshwater lake in Russia’s Vologda Oblast that forms an important link in the Volga–Baltic waterway system.
-
C.
White Lake
White Lake is a freshwater lake in western Michigan known for its recreational opportunities and proximity to the Lake Michigan shoreline.
-
D.
Kay Lake
Kay Lake is a central character in James Ellroy's crime novel "The Black Dahlia," depicted as a compassionate and morally grounded woman entangled in the dark world of 1940s Los Angeles corruption and obsession.
-
E.
Pere Marquette Lake
Pere Marquette Lake is a small coastal lake in Ludington, Michigan, connected to Lake Michigan and known for its recreational boating and fishing.
- 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_69b3454b4ae481908967426dd37284d6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356b95c888190a84bf4a9b2c60aa6 |
completed | March 13, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf9fc6bff48190b2f73e4c8c8b627a |
completed | April 3, 2026, 11:08 a.m. |
Created at: March 12, 2026, 11:35 p.m.