Triple
T21311930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runnels County, Texas |
E525359
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Olfen, Texas
Olfen, Texas is a small unincorporated rural community located in Runnels County in West Texas.
|
E1477369
|
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: Olfen, Texas | Statement: [Runnels County, Texas, containsSettlement, Olfen, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olfen, Texas Context triple: [Runnels County, Texas, containsSettlement, Olfen, Texas]
-
A.
Olney, Texas
Olney, Texas is a small rural city in Young County known for its agricultural economy and tight-knit community in North Texas.
-
B.
Oglethorpe, Texas
Oglethorpe, Texas is a small unincorporated community in Texas, United States.
-
C.
Onalaska, Texas
Onalaska, Texas is a small lakeside city in East Texas known for its location on the shores of Lake Livingston and its outdoor recreation opportunities.
-
D.
Ovilla, Texas
Ovilla, Texas is a small suburban city in the Dallas–Fort Worth metropolitan area known as one of the oldest towns in Ellis County.
-
E.
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.
- 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: Olfen, Texas Triple: [Runnels County, Texas, containsSettlement, Olfen, Texas]
Generated description
Olfen, Texas is a small unincorporated rural community located in Runnels County in West Texas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Olfen, Texas Target entity description: Olfen, Texas is a small unincorporated rural community located in Runnels County in West Texas.
-
A.
Olney, Texas
Olney, Texas is a small rural city in Young County known for its agricultural economy and tight-knit community in North Texas.
-
B.
Oglethorpe, Texas
Oglethorpe, Texas is a small unincorporated community in Texas, United States.
-
C.
Onalaska, Texas
Onalaska, Texas is a small lakeside city in East Texas known for its location on the shores of Lake Livingston and its outdoor recreation opportunities.
-
D.
Ovilla, Texas
Ovilla, Texas is a small suburban city in the Dallas–Fort Worth metropolitan area known as one of the oldest towns in Ellis County.
-
E.
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.
- 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_69e0b518b8948190ad69cf9a8784d397 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75dca66ac8190a5f0a372a9bc25a7 |
completed | April 21, 2026, 11:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a099ed968d88190aa274406beb46e87 |
completed | May 17, 2026, 10:56 a.m. |
| NEDg | Description generation | batch_6a099fb54c00819083422ecadd9aa1f5 |
completed | May 17, 2026, 11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09a0242a94819095af1689fe5aea0a |
completed | May 17, 2026, 11:01 a.m. |
Created at: April 16, 2026, 4:22 p.m.