Triple
T14665657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rains County, Texas |
E344364
|
entity |
| Predicate | seat |
P75
|
FINISHED |
| Object |
Emory, Texas
Emory, Texas is a small city in East Texas that serves as the commercial and cultural hub of Rains County.
|
E1112830
|
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: Emory, Texas | Statement: [Rains County, Texas, seat, Emory, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emory, Texas Context triple: [Rains County, Texas, seat, Emory, Texas]
-
A.
Oglethorpe, Texas
Oglethorpe, Texas is a small unincorporated community in Texas, United States.
-
B.
Van Alstyne, Texas
Van Alstyne, Texas is a small North Texas city known for its historic downtown, rural charm, and growing role as a bedroom community between Sherman and the Dallas–Fort Worth metroplex.
-
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.
Everman, Texas
Everman, Texas is a small suburban city in the Dallas–Fort Worth metropolitan area known for its residential character and proximity to Fort Worth.
-
E.
Millican, Texas
Millican, Texas is a small rural community in east-central Texas known for its historic role as an early railroad town.
- 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: Emory, Texas Triple: [Rains County, Texas, seat, Emory, Texas]
Generated description
Emory, Texas is a small city in East Texas that serves as the commercial and cultural hub of Rains County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emory, Texas Target entity description: Emory, Texas is a small city in East Texas that serves as the commercial and cultural hub of Rains County.
-
A.
Oglethorpe, Texas
Oglethorpe, Texas is a small unincorporated community in Texas, United States.
-
B.
Van Alstyne, Texas
Van Alstyne, Texas is a small North Texas city known for its historic downtown, rural charm, and growing role as a bedroom community between Sherman and the Dallas–Fort Worth metroplex.
-
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.
Everman, Texas
Everman, Texas is a small suburban city in the Dallas–Fort Worth metropolitan area known for its residential character and proximity to Fort Worth.
-
E.
Millican, Texas
Millican, Texas is a small rural community in east-central Texas known for its historic role as an early railroad town.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb54c69f8819080a37161deecfba8 |
completed | April 14, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5e63e6c8190ba67776719f2ff0c |
completed | May 8, 2026, 12:24 p.m. |
| NEDg | Description generation | batch_69fdda3510bc8190b12783ded11b5796 |
completed | May 8, 2026, 12:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fddaa56f4c8190ba56af6a7a56a201 |
completed | May 8, 2026, 12:44 p.m. |
Created at: April 10, 2026, 1:27 a.m.