Triple
T14968905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Bend County, Texas |
E373264
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Rosenberg, Texas |
—
|
NE NERFINISHED |
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: Rosenberg, Texas | Statement: [Fort Bend County, Texas, contains, Rosenberg, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosenberg, Texas Context triple: [Fort Bend County, Texas, contains, Rosenberg, Texas]
-
A.
Rosenberg, Texas
chosen
Rosenberg, Texas is a growing suburban city in Fort Bend County that forms part of the greater Houston metropolitan area.
-
B.
Rosharon, Texas
Rosharon, Texas is a small unincorporated community in Brazoria County that functions as an exurban area within the greater Houston metropolitan region.
-
C.
Rosser, Texas
Rosser, Texas is a small rural village located in Kaufman County within the Dallas–Fort Worth metropolitan area.
-
D.
Rosston, Texas
Rosston, Texas is a small unincorporated rural community located in Cooke County in north-central Texas.
-
E.
Roanoke, Texas
Roanoke, Texas is a small city in the Dallas–Fort Worth metropolitan area known for its historic downtown and designation as the “Unique Dining Capital of Texas.”
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6e44cb0819096e09f8026ef8174 |
completed | April 15, 2026, 12:08 a.m. |
Created at: April 10, 2026, 2:49 a.m.