Triple
T13460267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Llano River |
E311344
|
entity |
| Predicate | confluenceLocation |
P3421
|
FINISHED |
| Object | Junction, Texas |
E945266
|
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: Junction, Texas | Statement: [Llano River, confluenceLocation, Junction, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Junction, Texas Context triple: [Llano River, confluenceLocation, Junction, Texas]
-
A.
Junction, Texas
chosen
Junction, Texas is a small city in the Texas Hill Country that serves as the county seat of Kimble County and a regional hub for ranching, hunting, and outdoor recreation along the Llano River.
-
B.
Jarrell, Texas
Jarrell, Texas is a small town in central Texas known for its rural character and the devastating F5 tornado that struck the area in 1997.
-
C.
Johnson City, Texas
Johnson City, Texas is a small town in the Texas Hill Country best known as the hometown of President Lyndon B. Johnson and its close association with his legacy.
-
D.
Cottonwood, Texas
Cottonwood, Texas is a small rural community located within Kaufman County in the state of Texas.
-
E.
Josephine, Texas
Josephine, Texas is a small rural city in North Texas that forms part of the Dallas–Fort Worth metropolitan area.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf0c177081909178dec61b09c278 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f739a2c75c819093765eb9d0d2377e |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:41 p.m.