Triple
T3645041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wren, Oregon |
E77277
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object |
Wren
Wren is an unincorporated community in Benton County, Oregon, known for its rural setting near the Marys River.
|
E376259
|
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: Wren | Statement: [Wren, Oregon, hasName, Wren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wren Context triple: [Wren, Oregon, hasName, Wren]
-
A.
Wren
Wren is a given name that can be used for people of any gender, inspired by the small songbird of the same name.
-
B.
Martlet
Martlet was the British Royal Navy’s name for early versions of the American-built Grumman F4F Wildcat carrier-based fighter aircraft used during World War II.
-
C.
Swallow
Swallow is the Allied reporting name for the Japanese World War II fighter aircraft Kawasaki Ki-61, known for its inline engine and resemblance to contemporary European fighters.
-
D.
Martlets
Martlets is the name of McGill University's women's varsity sports teams, known for their strong athletic tradition in Canadian university sports.
-
E.
Vogel
Vogel is a German-origin surname borne by numerous individuals, including figures in sports, arts, science, and public life.
- 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: Wren Triple: [Wren, Oregon, hasName, Wren]
Generated description
Wren is an unincorporated community in Benton County, Oregon, known for its rural setting near the Marys River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wren Target entity description: Wren is an unincorporated community in Benton County, Oregon, known for its rural setting near the Marys River.
-
A.
Wren
Wren is a given name that can be used for people of any gender, inspired by the small songbird of the same name.
-
B.
Martlet
Martlet was the British Royal Navy’s name for early versions of the American-built Grumman F4F Wildcat carrier-based fighter aircraft used during World War II.
-
C.
Swallow
Swallow is the Allied reporting name for the Japanese World War II fighter aircraft Kawasaki Ki-61, known for its inline engine and resemblance to contemporary European fighters.
-
D.
Martlets
Martlets is the name of McGill University's women's varsity sports teams, known for their strong athletic tradition in Canadian university sports.
-
E.
Vogel
Vogel is a German-origin surname borne by numerous individuals, including figures in sports, arts, science, and public life.
- 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_69ad85de1b988190a45f8dbfebc806fc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc35da84c81908950de92ba171fa3 |
completed | March 8, 2026, 6:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f35985081909a499f9c1668b589 |
completed | March 13, 2026, 5:53 p.m. |
| NEDg | Description generation | batch_69b4520fb96481909f54af01fc4a3bbe |
completed | March 13, 2026, 6:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b45df65f5c8190a9f25e7da926222a |
completed | March 13, 2026, 6:56 p.m. |
Created at: March 8, 2026, 3:24 p.m.