Triple
T21746133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R533 road |
E536792
|
entity |
| Predicate | routeNumber |
P1864
|
FINISHED |
| Object |
R533
R533 is a regional road designation used for a specific numbered route within a national road network.
|
E1500146
|
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: R533 | Statement: [R533 road, routeNumber, R533]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: R533 Context triple: [R533 road, routeNumber, R533]
-
A.
R33
R33 is a regional commuter rail line in Catalonia, Spain, operated as part of the Rodalies de Catalunya network.
-
B.
R 337
R 337 is the hull number assigned to NOAA Ship Okeanos Explorer, a U.S. National Oceanic and Atmospheric Administration vessel dedicated to ocean exploration and research.
-
C.
R55
R55 is a regional road in South Africa that runs through Gauteng, connecting areas such as Midrand with surrounding suburbs and major routes.
-
D.
R 336
R 336 is the hull number assigned to the NOAA fisheries and oceanographic research vessel Gordon Gunter.
-
E.
R5
R5 is the U.S. Forest Service’s Pacific Southwest Region, which oversees national forests primarily in California and parts of neighboring areas.
- 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: R533 Triple: [R533 road, routeNumber, R533]
Generated description
R533 is a regional road designation used for a specific numbered route within a national road network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: R533 Target entity description: R533 is a regional road designation used for a specific numbered route within a national road network.
-
A.
R33
R33 is a regional commuter rail line in Catalonia, Spain, operated as part of the Rodalies de Catalunya network.
-
B.
R 337
R 337 is the hull number assigned to NOAA Ship Okeanos Explorer, a U.S. National Oceanic and Atmospheric Administration vessel dedicated to ocean exploration and research.
-
C.
R55
R55 is a regional road in South Africa that runs through Gauteng, connecting areas such as Midrand with surrounding suburbs and major routes.
-
D.
R 336
R 336 is the hull number assigned to the NOAA fisheries and oceanographic research vessel Gordon Gunter.
-
E.
R5
R5 is the U.S. Forest Service’s Pacific Southwest Region, which oversees national forests primarily in California and parts of neighboring areas.
- 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_69e0c46df5448190b4322127ffc4c690 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01a76540c8190b91a67f4a70869fb |
completed | April 28, 2026, 2:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a2eddcabc8190a97320733d2b44ca |
completed | May 17, 2026, 9:10 p.m. |
| NEDg | Description generation | batch_6a0a3069272c8190a6c90ca0c8b777d5 |
completed | May 17, 2026, 9:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a3114ce6c8190aeb972462837bb25 |
completed | May 17, 2026, 9:20 p.m. |
Created at: April 16, 2026, 6:49 p.m.