Triple
T16889170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Route nationale 106 |
E421618
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
RN 106
RN 106 is a French national highway that connects the cities of Nîmes and Alès in southern France.
|
E1238317
|
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: RN 106 | Statement: [Route nationale 106, hasAbbreviation, RN 106]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RN 106 Context triple: [Route nationale 106, hasAbbreviation, RN 106]
-
A.
RN 60
RN 60 is a major Argentine national highway that connects the province of Córdoba with the Chilean border, serving as an important trans-Andean route.
-
B.
RN104
RN104, also called the Francilienne, is a major ring road in the Île-de-France region that serves as an outer bypass around Paris.
-
C.
RN 9
RN 9 is a major Argentine national highway that runs from Buenos Aires to the Bolivian border, serving as a key transportation corridor through several central and northern provinces.
-
D.
RN 55
RN 55 is the abbreviated designation for Colombia’s National Route 55, a major roadway in the country’s highway network.
-
E.
RN
RN is the stock ticker symbol under which the former American conglomerate RJR Nabisco was traded on public financial markets.
- 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: RN 106 Triple: [Route nationale 106, hasAbbreviation, RN 106]
Generated description
RN 106 is a French national highway that connects the cities of Nîmes and Alès in southern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RN 106 Target entity description: RN 106 is a French national highway that connects the cities of Nîmes and Alès in southern France.
-
A.
RN 60
RN 60 is a major Argentine national highway that connects the province of Córdoba with the Chilean border, serving as an important trans-Andean route.
-
B.
RN104
RN104, also called the Francilienne, is a major ring road in the Île-de-France region that serves as an outer bypass around Paris.
-
C.
RN 9
RN 9 is a major Argentine national highway that runs from Buenos Aires to the Bolivian border, serving as a key transportation corridor through several central and northern provinces.
-
D.
RN 55
RN 55 is the abbreviated designation for Colombia’s National Route 55, a major roadway in the country’s highway network.
-
E.
RN
RN is the stock ticker symbol under which the former American conglomerate RJR Nabisco was traded on public financial markets.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3bbc3b5188190ac713b4d4166e961 |
completed | April 18, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2c1eee48190bc906e658d7729a4 |
completed | May 10, 2026, 5:39 p.m. |
| NEDg | Description generation | batch_6a00c3b4a36c8190804b8616958002fc |
completed | May 10, 2026, 5:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00c434d8f88190a71c1c4c8e475e33 |
completed | May 10, 2026, 5:45 p.m. |
Created at: April 10, 2026, 5:29 a.m.