Triple
T4427329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fannin County, Texas |
E95239
|
entity |
| Predicate | hasUnincorporatedCommunity |
P6345
|
FINISHED |
| Object |
Telephone, Texas
Telephone, Texas is a small unincorporated rural community located in Fannin County in northeastern Texas.
|
E437633
|
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: Telephone, Texas | Statement: [Fannin County, Texas, hasUnincorporatedCommunity, Telephone, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Telephone, Texas Context triple: [Fannin County, Texas, hasUnincorporatedCommunity, Telephone, Texas]
-
A.
Telico, Texas
Telico, Texas is a small unincorporated rural community located in Ellis County in north-central Texas.
-
B.
Leo, Texas
Leo, Texas is a small rural unincorporated community located in Cooke County in north-central Texas.
-
C.
Terrell, Texas
Terrell, Texas is a small city in North Texas known for its historic downtown, proximity to Dallas, and role as a regional commercial and educational hub.
-
D.
Van Horn, Texas
Van Horn, Texas is a small town in far West Texas that serves as a regional crossroads and gateway community along major highways and near the Chihuahuan Desert.
-
E.
Commerce, Texas
Commerce, Texas is a small city in northeastern Texas best known as the home of Texas A&M University–Commerce.
- 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: Telephone, Texas Triple: [Fannin County, Texas, hasUnincorporatedCommunity, Telephone, Texas]
Generated description
Telephone, Texas is a small unincorporated rural community located in Fannin County in northeastern Texas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Telephone, Texas Target entity description: Telephone, Texas is a small unincorporated rural community located in Fannin County in northeastern Texas.
-
A.
Telico, Texas
Telico, Texas is a small unincorporated rural community located in Ellis County in north-central Texas.
-
B.
Leo, Texas
Leo, Texas is a small rural unincorporated community located in Cooke County in north-central Texas.
-
C.
Terrell, Texas
Terrell, Texas is a small city in North Texas known for its historic downtown, proximity to Dallas, and role as a regional commercial and educational hub.
-
D.
Van Horn, Texas
Van Horn, Texas is a small town in far West Texas that serves as a regional crossroads and gateway community along major highways and near the Chihuahuan Desert.
-
E.
Commerce, Texas
Commerce, Texas is a small city in northeastern Texas best known as the home of Texas A&M University–Commerce.
- 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_69b3453c2a0c8190926b574c90766db9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355674d5481908bf2dfd611f3520f |
completed | March 13, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f63495148190847f79d8cacb737e |
completed | March 14, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_69b5f709063c81909334a5b21da99c22 |
completed | March 15, 2026, 12:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5f7887cb08190bf498eefc3627bfa |
completed | March 15, 2026, 12:04 a.m. |
Created at: March 12, 2026, 11:30 p.m.