Triple
T2300510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas Panhandle |
E51719
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Dalhart
Dalhart is a small city in the northwestern Texas Panhandle known as an agricultural and ranching hub near the New Mexico border.
|
E253846
|
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: Dalhart | Statement: [Texas Panhandle, hasCity, Dalhart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dalhart Context triple: [Texas Panhandle, hasCity, Dalhart]
-
A.
Guymon
Guymon is a small city in the Oklahoma Panhandle known as an agricultural and energy-production hub for the surrounding High Plains region.
-
B.
Medora
Medora is the courageous and devoted heroine of Lord Byron’s narrative poem "The Corsair," often depicted as the pirate Conrad’s beloved.
-
C.
Sheridan
Sheridan is a surname of Irish origin borne by numerous notable figures in politics, the military, arts, and entertainment.
-
D.
Drysdale
Drysdale is a surname most famously associated with Don Drysdale, a Hall of Fame Major League Baseball pitcher for the Los Angeles Dodgers.
-
E.
Town of Plains
The Town of Plains is a small rural community in Georgia best known as the hometown of former U.S. President Jimmy Carter.
- 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: Dalhart Triple: [Texas Panhandle, hasCity, Dalhart]
Generated description
Dalhart is a small city in the northwestern Texas Panhandle known as an agricultural and ranching hub near the New Mexico border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dalhart Target entity description: Dalhart is a small city in the northwestern Texas Panhandle known as an agricultural and ranching hub near the New Mexico border.
-
A.
Guymon
Guymon is a small city in the Oklahoma Panhandle known as an agricultural and energy-production hub for the surrounding High Plains region.
-
B.
Medora
Medora is the courageous and devoted heroine of Lord Byron’s narrative poem "The Corsair," often depicted as the pirate Conrad’s beloved.
-
C.
Sheridan
Sheridan is a surname of Irish origin borne by numerous notable figures in politics, the military, arts, and entertainment.
-
D.
Drysdale
Drysdale is a surname most famously associated with Don Drysdale, a Hall of Fame Major League Baseball pitcher for the Los Angeles Dodgers.
-
E.
Town of Plains
The Town of Plains is a small rural community in Georgia best known as the hometown of former U.S. President Jimmy Carter.
- 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc5edc1348190a4d84606b1310711 |
completed | March 7, 2026, 6:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f2e338881908e09d19f469a59ce |
completed | March 9, 2026, 8:05 a.m. |
| NEDg | Description generation | batch_69ae7fd78ee48190990fc7b5034b662b |
completed | March 9, 2026, 8:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae80dadf208190913211329a40b4ee |
completed | March 9, 2026, 8:12 a.m. |
Created at: March 4, 2026, 7:49 p.m.