Triple
T4427321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fannin County, Texas |
E95239
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Leonard, Texas
Leonard, Texas is a small rural city in North Texas known for its tight-knit community and annual Leonard Picnic celebration.
|
E526497
|
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: Leonard, Texas | Statement: [Fannin County, Texas, hasCity, Leonard, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leonard, Texas Context triple: [Fannin County, Texas, hasCity, Leonard, Texas]
-
A.
Leo, Texas
Leo, Texas is a small rural unincorporated community located in Cooke County in north-central Texas.
-
B.
Lucas, Texas
Lucas, Texas is a small suburban city in North Texas known for its rural character, large residential lots, and location within the Dallas–Fort Worth metropolitan area.
-
C.
Cottonwood, Texas
Cottonwood, Texas is a small rural community located within Kaufman County in the state of Texas.
-
D.
Rockett, Texas
Rockett, Texas is a small unincorporated rural community located in Ellis County in the north-central region of the state.
-
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: Leonard, Texas Triple: [Fannin County, Texas, hasCity, Leonard, Texas]
Generated description
Leonard, Texas is a small rural city in North Texas known for its tight-knit community and annual Leonard Picnic celebration.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leonard, Texas Target entity description: Leonard, Texas is a small rural city in North Texas known for its tight-knit community and annual Leonard Picnic celebration.
-
A.
Leo, Texas
Leo, Texas is a small rural unincorporated community located in Cooke County in north-central Texas.
-
B.
Lucas, Texas
Lucas, Texas is a small suburban city in North Texas known for its rural character, large residential lots, and location within the Dallas–Fort Worth metropolitan area.
-
C.
Cottonwood, Texas
Cottonwood, Texas is a small rural community located within Kaufman County in the state of Texas.
-
D.
Rockett, Texas
Rockett, Texas is a small unincorporated rural community located in Ellis County in the north-central region of the state.
-
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_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_69bfc0140a548190a9fb54c267622fb1 |
completed | March 22, 2026, 10:10 a.m. |
| NEDg | Description generation | batch_69bfc09a0448819081ce5149227b0515 |
completed | March 22, 2026, 10:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bfc0eb672481909ad70374610931f6 |
completed | March 22, 2026, 10:14 a.m. |
Created at: March 12, 2026, 11:30 p.m.