Triple
T7451816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oklahoma County |
E172024
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Bethany
Bethany is a small city in central Oklahoma that functions largely as a residential suburb of Oklahoma City.
|
E665637
|
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: Bethany | Statement: [Oklahoma County, contains, Bethany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bethany Context triple: [Oklahoma County, contains, Bethany]
-
A.
Bethany
Bethany is a small, rural town in south-central Connecticut known for its open spaces and residential character.
-
B.
Bethany
Bethany is the first name of Bethany Hamilton, the American professional surfer known for surviving a shark attack and returning to competitive surfing.
-
C.
Bethany
Bethany is a village near Jerusalem mentioned in the New Testament, traditionally known as the home of Mary, Martha, and Lazarus and a frequent place visited by Jesus.
-
D.
Rochelle
Rochelle is the full given name of Chellie Pingree, an American politician serving as a U.S. Representative from Maine.
-
E.
Ophrah
Ophrah is an ancient town in the Hebrew Bible, notably associated with the judge Gideon and his religious activities.
- 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: Bethany Triple: [Oklahoma County, contains, Bethany]
Generated description
Bethany is a small city in central Oklahoma that functions largely as a residential suburb of Oklahoma City.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bethany Target entity description: Bethany is a small city in central Oklahoma that functions largely as a residential suburb of Oklahoma City.
-
A.
Bethany
Bethany is a village near Jerusalem mentioned in the New Testament, traditionally known as the home of Mary, Martha, and Lazarus and a frequent place visited by Jesus.
-
B.
Bethany
Bethany is a small, rural town in south-central Connecticut known for its open spaces and residential character.
-
C.
Bethany
Bethany is the first name of Bethany Hamilton, the American professional surfer known for surviving a shark attack and returning to competitive surfing.
-
D.
Rochelle
Rochelle is the full given name of Chellie Pingree, an American politician serving as a U.S. Representative from Maine.
-
E.
Ophrah
Ophrah is an ancient town in the Hebrew Bible, notably associated with the judge Gideon and his religious activities.
- 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_69c68a66554c8190add75c65942c0317 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f38d6a8c8190af2e73c719da87a6 |
completed | March 27, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c827b9a6048190bd3e3594b9cff2b7 |
completed | March 28, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69c828e1487081908de825d60ea38c9e |
completed | March 28, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c829d8a15c8190911e0d7bda39c280 |
completed | March 28, 2026, 7:19 p.m. |
Created at: March 27, 2026, 3:14 p.m.