Triple
T22017364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iowa Highway 4 |
E543746
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Graettinger
Graettinger is a small city in Palo Alto County, Iowa, known for its rural Midwestern character and annual community events.
|
E1514998
|
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: Graettinger | Statement: [Iowa Highway 4, passesThrough, Graettinger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Graettinger Context triple: [Iowa Highway 4, passesThrough, Graettinger]
-
A.
Grächen
Grächen is a Swiss alpine village and popular family-friendly holiday resort in the canton of Valais, known for its scenic mountain setting and access to hiking and skiing.
-
B.
Fiescherbach
Fiescherbach is a mountain stream in the Swiss Alps that flows through the village of Fiesch in the canton of Valais.
-
C.
Dannhauser
Dannhauser is a small town and local municipality in KwaZulu-Natal, South Africa, known historically for coal mining and agriculture.
-
D.
Guldenthaler
Guldenthaler is a historical gold coin variant of the thaler used in parts of Europe.
-
E.
Ossenburger
Ossenburger is a wealthy, somewhat comical alumnus of Pencey Prep in J.D. Salinger’s "The Catcher in the Rye," known for donating money to the school and giving a pompous speech to the students.
- 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: Graettinger Triple: [Iowa Highway 4, passesThrough, Graettinger]
Generated description
Graettinger is a small city in Palo Alto County, Iowa, known for its rural Midwestern character and annual community events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Graettinger Target entity description: Graettinger is a small city in Palo Alto County, Iowa, known for its rural Midwestern character and annual community events.
-
A.
Grächen
Grächen is a Swiss alpine village and popular family-friendly holiday resort in the canton of Valais, known for its scenic mountain setting and access to hiking and skiing.
-
B.
Fiescherbach
Fiescherbach is a mountain stream in the Swiss Alps that flows through the village of Fiesch in the canton of Valais.
-
C.
Dannhauser
Dannhauser is a small town and local municipality in KwaZulu-Natal, South Africa, known historically for coal mining and agriculture.
-
D.
Guldenthaler
Guldenthaler is a historical gold coin variant of the thaler used in parts of Europe.
-
E.
Ossenburger
Ossenburger is a wealthy, somewhat comical alumnus of Pencey Prep in J.D. Salinger’s "The Catcher in the Rye," known for donating money to the school and giving a pompous speech to the students.
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c4e0088190a5241d1b87d746da |
completed | April 28, 2026, 9:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a7b63c3748190b6b9110929db9449 |
completed | May 18, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_6a0a7c55ca248190b99a81970626b1f0 |
completed | May 18, 2026, 2:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a7d1995408190a7b41daba0fd241e |
completed | May 18, 2026, 2:44 a.m. |
Created at: April 16, 2026, 8:23 p.m.