Triple
T64984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dallas County, Texas |
E1292
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Coppell
Coppell is a suburban city in the Dallas–Fort Worth metropolitan area known for its affluent residential neighborhoods and strong public school system.
|
E27019
|
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: Coppell | Statement: [Dallas County, Texas, contains, Coppell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coppell Context triple: [Dallas County, Texas, contains, Coppell]
-
A.
Duncanville
Duncanville is a suburban city in the Dallas–Fort Worth metropolitan area of North Texas.
-
B.
Farmers Branch
Farmers Branch is a suburban city in the Dallas–Fort Worth metropolitan area known for its residential neighborhoods, parks, and proximity to Dallas.
-
C.
Grand Prairie
Grand Prairie is a mid-sized suburban city in the Dallas–Fort Worth metropolitan area known for its family attractions, parks, and growing residential communities.
-
D.
Balch Springs
Balch Springs is a suburban city in the Dallas–Fort Worth metropolitan area in northeastern Texas.
-
E.
Frisco, Texas
Frisco, Texas is a rapidly growing suburban city in the Dallas–Fort Worth metropolitan area known for its sports venues, retail centers, and family-friendly communities.
- 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: Coppell Triple: [Dallas County, Texas, contains, Coppell]
Generated description
Coppell is a suburban city in the Dallas–Fort Worth metropolitan area known for its affluent residential neighborhoods and strong public school system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Coppell Target entity description: Coppell is a suburban city in the Dallas–Fort Worth metropolitan area known for its affluent residential neighborhoods and strong public school system.
-
A.
Duncanville
Duncanville is a suburban city in the Dallas–Fort Worth metropolitan area of North Texas.
-
B.
Farmers Branch
Farmers Branch is a suburban city in the Dallas–Fort Worth metropolitan area known for its residential neighborhoods, parks, and proximity to Dallas.
-
C.
Grand Prairie
Grand Prairie is a mid-sized suburban city in the Dallas–Fort Worth metropolitan area known for its family attractions, parks, and growing residential communities.
-
D.
Balch Springs
Balch Springs is a suburban city in the Dallas–Fort Worth metropolitan area in northeastern Texas.
-
E.
Frisco, Texas
Frisco, Texas is a rapidly growing suburban city in the Dallas–Fort Worth metropolitan area known for its sports venues, retail centers, and family-friendly communities.
- 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_69a24ba4f760819081f6638a3c70538a |
completed | Feb. 28, 2026, 1:57 a.m. |
| NER | Named-entity recognition | batch_69a24ee6ba348190b00977285d74d8f5 |
completed | Feb. 28, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a332c400788190bb9beca3246bcf46 |
completed | Feb. 28, 2026, 6:24 p.m. |
| NEDg | Description generation | batch_69a33361723c8190b2b9132658a8a5f5 |
completed | Feb. 28, 2026, 6:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a33727fda08190a740222f5e279130 |
completed | Feb. 28, 2026, 6:42 p.m. |
Created at: Feb. 28, 2026, 2:02 a.m.