Triple
T4190255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Bird Lake |
E89016
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Downtown Austin |
E174422
|
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: Downtown Austin | Statement: [Lady Bird Lake, partOf, Downtown Austin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Downtown Austin Context triple: [Lady Bird Lake, partOf, Downtown Austin]
-
A.
downtown Austin
chosen
Downtown Austin is the central business and cultural district of Austin, Texas, known for its dense skyline, live music venues, nightlife, and proximity to the Texas State Capitol and Lady Bird Lake.
-
B.
Downtown Dallas
Downtown Dallas is the central business district and urban core of Dallas, Texas, known for its skyscrapers, cultural attractions, and major corporate headquarters.
-
C.
Downtown Houston
Downtown Houston is the central business district and urban core of Houston, Texas, known for its skyscrapers, entertainment venues, and major sports arenas.
-
D.
Austin
Austin is a major city in central Texas known for its vibrant live music scene, tech industry, and cultural diversity.
-
E.
Austin
Austin is a small historic mining town in central Nevada known for its 19th-century silver boom and remote, high-desert setting along U.S. Route 50.
- 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_69aed9569a4481908b6c1fcec2a11e21 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af033ef6648190adde17f943d89c78 |
completed | March 9, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5961c2ad08190a1bb13bf040481a1 |
completed | March 14, 2026, 5:08 p.m. |
Created at: March 9, 2026, 3:46 p.m.