Triple
T3628082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McLennan County |
E76887
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Lorena, Texas
Lorena, Texas is a small city in Central Texas that functions as a suburban community within the Waco metropolitan area.
|
E525041
|
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: Lorena, Texas | Statement: [McLennan County, contains, Lorena, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lorena, Texas Context triple: [McLennan County, contains, Lorena, Texas]
-
A.
Leo, Texas
Leo, Texas is a small rural unincorporated community located in Cooke County in north-central Texas.
-
B.
Del Rio, Texas
Del Rio, Texas is a border city in southwest Texas along the Rio Grande, known as a regional hub for trade, law enforcement, and federal government activity.
-
C.
Velasco, Texas
Velasco, Texas was a historic Gulf Coast port town that played a key role in early Texas history, including as the site where treaties ending the Texas Revolution were signed.
-
D.
Alvarado, Texas
Alvarado, Texas is a small historic city in North Texas known as the oldest city in Johnson County and part of the Dallas–Fort Worth metropolitan area.
-
E.
Gonzales, Texas
Gonzales, Texas is a historic town best known as the site of the first battle of the Texas Revolution and the origin of the famous "Come and Take It" slogan.
- 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: Lorena, Texas Triple: [McLennan County, contains, Lorena, Texas]
Generated description
Lorena, Texas is a small city in Central Texas that functions as a suburban community within the Waco metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lorena, Texas Target entity description: Lorena, Texas is a small city in Central Texas that functions as a suburban community within the Waco metropolitan area.
-
A.
Leo, Texas
Leo, Texas is a small rural unincorporated community located in Cooke County in north-central Texas.
-
B.
Del Rio, Texas
Del Rio, Texas is a border city in southwest Texas along the Rio Grande, known as a regional hub for trade, law enforcement, and federal government activity.
-
C.
Velasco, Texas
Velasco, Texas was a historic Gulf Coast port town that played a key role in early Texas history, including as the site where treaties ending the Texas Revolution were signed.
-
D.
Alvarado, Texas
Alvarado, Texas is a small historic city in North Texas known as the oldest city in Johnson County and part of the Dallas–Fort Worth metropolitan area.
-
E.
Gonzales, Texas
Gonzales, Texas is a historic town best known as the site of the first battle of the Texas Revolution and the origin of the famous "Come and Take It" slogan.
- 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_69ad85dc03948190b35b7189e4175bcc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2ddccc881909ae13dca3dd8a11d |
completed | March 8, 2026, 6:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf832772d08190842b1e1c1a87ea3a |
completed | March 22, 2026, 5:50 a.m. |
| NEDg | Description generation | batch_69bf83e188888190bbc058b0e27125aa |
completed | March 22, 2026, 5:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf844f7be0819089a1cbb3b8c41e0b |
completed | March 22, 2026, 5:55 a.m. |
Created at: March 8, 2026, 3:23 p.m.