Triple
T12835419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas State Highway 56 |
E306897
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Dodd City, Texas |
E449727
|
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: Dodd City, Texas | Statement: [Texas State Highway 56, passesThrough, Dodd City, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dodd City, Texas Context triple: [Texas State Highway 56, passesThrough, Dodd City, Texas]
-
A.
Dodd City, Texas
chosen
Dodd City, Texas is a small rural town located in Fannin County in northeastern Texas.
-
B.
Dodge, Texas
Dodge, Texas is a small unincorporated rural community located in Walker County in eastern Texas.
-
C.
Dickinson, Texas
Dickinson, Texas is a small city in Galveston County located between Houston and Galveston along Interstate 45 on the Texas Gulf Coast.
-
D.
Dorchester, Texas
Dorchester, Texas is a small rural community located in Grayson County in north-central Texas.
-
E.
Dayton, Texas
Dayton, Texas is a small city in Liberty County that functions as a rural-tinged suburban community within the Greater Houston 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96fb1c7248190bb6e644e041d192e |
completed | April 10, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68edaa6288190a775f6e852fa941b |
completed | May 2, 2026, 11:55 p.m. |
Created at: April 9, 2026, 5:34 p.m.