Triple
T10055075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Oklahoma |
E208839
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Weatherford
Weatherford is a small city in western Oklahoma known for its agricultural economy, wind energy industry, and as the home of Southwestern Oklahoma State University.
|
E838564
|
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: Weatherford | Statement: [Western Oklahoma, hasCity, Weatherford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weatherford Context triple: [Western Oklahoma, hasCity, Weatherford]
-
A.
Weatherford
Weatherford is a suburban city in the Dallas–Fort Worth metropolitan area in North Texas.
-
B.
Eastfield
Eastfield is a small village located near Harthill in the United Kingdom.
-
C.
Weldon
Weldon is the middle name of James Weldon Johnson, the influential African American writer, civil rights activist, and leader of the NAACP.
-
D.
Woodward
Woodward is a surname most prominently associated with American investigative journalist Bob Woodward, known for his reporting on the Watergate scandal.
-
E.
Woodward
Woodward is a small city in northwestern Oklahoma that serves as a regional hub for agriculture, energy, and commerce.
- 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: Weatherford Triple: [Western Oklahoma, hasCity, Weatherford]
Generated description
Weatherford is a small city in western Oklahoma known for its agricultural economy, wind energy industry, and as the home of Southwestern Oklahoma State University.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Weatherford Target entity description: Weatherford is a small city in western Oklahoma known for its agricultural economy, wind energy industry, and as the home of Southwestern Oklahoma State University.
-
A.
Weatherford
Weatherford is a suburban city in the Dallas–Fort Worth metropolitan area in North Texas.
-
B.
Eastfield
Eastfield is a small village located near Harthill in the United Kingdom.
-
C.
Weldon
Weldon is the middle name of James Weldon Johnson, the influential African American writer, civil rights activist, and leader of the NAACP.
-
D.
Woodward
Woodward is a surname most prominently associated with American investigative journalist Bob Woodward, known for his reporting on the Watergate scandal.
-
E.
Woodward
Woodward is a small city in northwestern Oklahoma that serves as a regional hub for agriculture, energy, and commerce.
- 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_69ca836094408190a36a1ea7e9a86fcd |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcfacacd08190abe66f8bb17b92c7 |
completed | April 2, 2026, 2:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29a49cb208190b56d991a523efbac |
completed | April 5, 2026, 5:22 p.m. |
| NEDg | Description generation | batch_69d29b7430248190b8965eaf1286dd7c |
completed | April 5, 2026, 5:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d29c7ba9f081908f4614098d6c954b |
completed | April 5, 2026, 5:31 p.m. |
Created at: March 30, 2026, 8:57 p.m.