Triple
T18621603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coryell County |
E455163
|
entity |
| Predicate | hasUnincorporatedCommunity |
P6345
|
FINISHED |
| Object |
South Mountain, Texas
South Mountain, Texas is a small unincorporated community located in Coryell County in central Texas.
|
E1334839
|
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: South Mountain, Texas | Statement: [Coryell County, hasUnincorporatedCommunity, South Mountain, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: South Mountain, Texas Context triple: [Coryell County, hasUnincorporatedCommunity, South Mountain, Texas]
-
A.
Round Mountain, Texas
Round Mountain, Texas is a small rural town in the Texas Hill Country known for its scenic landscapes and quiet, close-knit community.
-
B.
East Mountain, Texas
East Mountain, Texas is a small city located in northeastern Texas within the Longview–Marshall metropolitan area.
-
C.
Mount Calm, Texas
Mount Calm, Texas is a small rural town in central Texas known for its agricultural surroundings and close-knit community.
-
D.
Granite Shoals, Texas
Granite Shoals, Texas is a small lakeside city in the Texas Hill Country known for its access to Lake LBJ and outdoor recreational activities.
-
E.
Shenandoah, Texas
Shenandoah, Texas is a small suburban city in Montgomery County, north of Houston, known for its retail centers, medical facilities, and proximity to The Woodlands.
- 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: South Mountain, Texas Triple: [Coryell County, hasUnincorporatedCommunity, South Mountain, Texas]
Generated description
South Mountain, Texas is a small unincorporated community located in Coryell County in central Texas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: South Mountain, Texas Target entity description: South Mountain, Texas is a small unincorporated community located in Coryell County in central Texas.
-
A.
Round Mountain, Texas
Round Mountain, Texas is a small rural town in the Texas Hill Country known for its scenic landscapes and quiet, close-knit community.
-
B.
East Mountain, Texas
East Mountain, Texas is a small city located in northeastern Texas within the Longview–Marshall metropolitan area.
-
C.
Mount Calm, Texas
Mount Calm, Texas is a small rural town in central Texas known for its agricultural surroundings and close-knit community.
-
D.
Granite Shoals, Texas
Granite Shoals, Texas is a small lakeside city in the Texas Hill Country known for its access to Lake LBJ and outdoor recreational activities.
-
E.
Shenandoah, Texas
Shenandoah, Texas is a small suburban city in Montgomery County, north of Houston, known for its retail centers, medical facilities, and proximity to The Woodlands.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54f0146f48190a872032db6e660c6 |
completed | April 19, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a050d765bb081908aab41aa6bb97fe4 |
completed | May 13, 2026, 11:47 p.m. |
| NEDg | Description generation | batch_6a050f6306ac8190aa4d72627345cf55 |
completed | May 13, 2026, 11:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a050ff68a7c8190bf82d00370f4b1d4 |
completed | May 13, 2026, 11:57 p.m. |
Created at: April 10, 2026, 11:46 a.m.