Triple
T4854398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Austin, Texas, United States |
E108500
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object | Lake Austin |
E186549
|
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: Lake Austin | Statement: [Austin, Texas, United States, hasLake, Lake Austin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Austin Context triple: [Austin, Texas, United States, hasLake, Lake Austin]
-
A.
Lake Austin
chosen
Lake Austin is a dammed section of the Colorado River in central Texas, popular for boating, fishing, and upscale waterfront homes near Austin.
-
B.
Lake Travis
Lake Travis is a large, popular reservoir on the Colorado River in central Texas known for boating, fishing, and waterfront recreation near Austin.
-
C.
Lake Hunt
Lake Hunt is a small recreational lake located in or near Reidsville, North Carolina.
-
D.
Lady Bird Lake
Lady Bird Lake is a popular reservoir and recreational waterfront in downtown Austin, Texas, known for its scenic trails, kayaking, and skyline views.
-
E.
Double Oak Lake
Double Oak Lake is a scenic recreational lake within Alabama’s Oak Mountain State Park, popular for activities such as swimming, fishing, and boating.
- 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_69bd440a89548190a5f14ba6da6b97dc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d3c9d7881908c04cef2cb7db745 |
completed | March 20, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be67da14d48190a994a11eb7a674b5 |
completed | March 21, 2026, 9:41 a.m. |
Created at: March 20, 2026, 1:26 p.m.