Triple
T1859080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northwestern Oklahoma |
E41772
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Woodward
Woodward is a small city in northwestern Oklahoma that serves as a regional hub for agriculture, energy, and commerce.
|
E208841
|
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: Woodward | Statement: [Northwestern Oklahoma, contains, Woodward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woodward Context triple: [Northwestern Oklahoma, contains, Woodward]
-
A.
Woodward
Woodward is a surname most prominently associated with American investigative journalist Bob Woodward, known for his reporting on the Watergate scandal.
-
B.
Dunlap
Dunlap is a minor character in the play "Inherit the Wind," appearing as one of the townspeople involved in the trial’s tense, small-town atmosphere.
-
C.
Howden
Howden is a historic market town in the East Riding of Yorkshire, England, known for its medieval Minster and traditional town centre.
-
D.
Howden
Howden is a residential neighbourhood within the town of Livingston in West Lothian, Scotland.
-
E.
Gleason Works
Gleason Works is an American manufacturing company best known for its pioneering machine tools and technologies for producing gears and related power transmission components.
- 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: Woodward Triple: [Northwestern Oklahoma, contains, Woodward]
Generated description
Woodward is a small city in northwestern Oklahoma that serves as a regional hub for agriculture, energy, and commerce.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Woodward Target entity description: Woodward is a small city in northwestern Oklahoma that serves as a regional hub for agriculture, energy, and commerce.
-
A.
Woodward
Woodward is a surname most prominently associated with American investigative journalist Bob Woodward, known for his reporting on the Watergate scandal.
-
B.
Dunlap
Dunlap is a minor character in the play "Inherit the Wind," appearing as one of the townspeople involved in the trial’s tense, small-town atmosphere.
-
C.
Howden
Howden is a historic market town in the East Riding of Yorkshire, England, known for its medieval Minster and traditional town centre.
-
D.
Howden
Howden is a residential neighbourhood within the town of Livingston in West Lothian, Scotland.
-
E.
Gleason Works
Gleason Works is an American manufacturing company best known for its pioneering machine tools and technologies for producing gears and related power transmission components.
- 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_69a8864a83848190a4ec02721306c511 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0829f1481908d2b389d20827417 |
completed | March 7, 2026, 4:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1ce296c819093336cbaa257dfd2 |
completed | March 8, 2026, 7:45 p.m. |
| NEDg | Description generation | batch_69add229de448190826bbb668c7611a0 |
completed | March 8, 2026, 7:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69add29e3c50819098ff87d254c25c45 |
completed | March 8, 2026, 7:48 p.m. |
Created at: March 4, 2026, 7:33 p.m.