Triple
T17759522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milam County, Texas |
E443331
|
entity |
| Predicate | hasCommunity |
P2605
|
FINISHED |
| Object |
Burlington, Texas
Burlington, Texas is a small unincorporated rural community located in central Texas.
|
E1287054
|
NE FINISHED |
How this triple was built (4 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: Burlington, Texas | Statement: [Milam County, Texas, hasCommunity, Burlington, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burlington, Texas Context triple: [Milam County, Texas, hasCommunity, Burlington, Texas]
-
A.
Buda, Texas
Buda, Texas is a small city in Central Texas, located just south of Austin and known for its rapid suburban growth and annual wiener dog races.
-
B.
Bullard, Texas
Bullard, Texas is a small town in East Texas that serves as a suburban community within the greater Tyler metropolitan area.
-
C.
New London, Texas
New London, Texas is a small East Texas town best known as the site of the 1937 New London School explosion, one of the deadliest school disasters in U.S. history.
-
D.
Brownsboro, Texas
Brownsboro, Texas is a small rural city in East Texas known for its close-knit community and location within the Tyler metropolitan area.
-
E.
Burleson, Texas
Burleson, Texas is a growing suburban city in the Dallas–Fort Worth metropolitan area known for its family-friendly neighborhoods and proximity to Fort Worth.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Burlington, Texas Triple: [Milam County, Texas, hasCommunity, Burlington, Texas]
Generated description
Burlington, Texas is a small unincorporated rural community located in central Texas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Burlington, Texas Target entity description: Burlington, Texas is a small unincorporated rural community located in central Texas.
-
A.
Buda, Texas
Buda, Texas is a small city in Central Texas, located just south of Austin and known for its rapid suburban growth and annual wiener dog races.
-
B.
Bullard, Texas
Bullard, Texas is a small town in East Texas that serves as a suburban community within the greater Tyler metropolitan area.
-
C.
New London, Texas
New London, Texas is a small East Texas town best known as the site of the 1937 New London School explosion, one of the deadliest school disasters in U.S. history.
-
D.
Brownsboro, Texas
Brownsboro, Texas is a small rural city in East Texas known for its close-knit community and location within the Tyler metropolitan area.
-
E.
Burleson, Texas
Burleson, Texas is a growing suburban city in the Dallas–Fort Worth metropolitan area known for its family-friendly neighborhoods and proximity to Fort Worth.
- F. None of above. chosen
Provenance (5 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48421c3048190b26864b72aad0d70 |
completed | April 19, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02efbaa62c81908870dba8f0e2e55d |
completed | May 12, 2026, 9:15 a.m. |
| NEDg | Description generation | batch_6a02f1232f348190ab28e8d5ed4d3ad3 |
completed | May 12, 2026, 9:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02f18beeb88190ac8cb9540b6b7b88 |
completed | May 12, 2026, 9:23 a.m. |
Created at: April 10, 2026, 10:10 a.m.