Triple
T4497392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francilienne |
E100732
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
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.
|
E446386
|
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: RN104 | Statement: [Francilienne, alsoKnownAs, RN104]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RN104 Context triple: [Francilienne, alsoKnownAs, RN104]
-
A.
RN12
RN12 is a major national road in France that serves as an important route connecting several towns and regions in the western part of the country.
-
B.
R-4
The R-4 is a World War II–era Sikorsky helicopter recognized as the first mass-produced helicopter and the first to be used operationally by the U.S. military.
-
C.
R103
R103 is a regional road in South Africa that serves as an alternative route to the N3, connecting towns such as Ladysmith along the KwaZulu-Natal corridor.
-
D.
R11
R11 is the internal station code used by the New York City Subway for the Grand Central–42nd Street complex in Midtown Manhattan.
-
E.
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.
- 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: RN104 Triple: [Francilienne, alsoKnownAs, RN104]
Generated description
RN104, also called the Francilienne, is a major ring road in the Île-de-France region that serves as an outer bypass around Paris.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RN104 Target entity description: RN104, also called the Francilienne, is a major ring road in the Île-de-France region that serves as an outer bypass around Paris.
-
A.
RN12
RN12 is a major national road in France that serves as an important route connecting several towns and regions in the western part of the country.
-
B.
R-4
The R-4 is a World War II–era Sikorsky helicopter recognized as the first mass-produced helicopter and the first to be used operationally by the U.S. military.
-
C.
R103
R103 is a regional road in South Africa that serves as an alternative route to the N3, connecting towns such as Ladysmith along the KwaZulu-Natal corridor.
-
D.
R11
R11 is the internal station code used by the New York City Subway for the Grand Central–42nd Street complex in Midtown Manhattan.
-
E.
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.
- 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_69bd43cdf15081909a4fa2585ff63b3e |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56c065e88190934eb0b1632d79bb |
completed | March 20, 2026, 2:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd67c4e7c88190b9b9cab49444b515 |
completed | March 20, 2026, 3:29 p.m. |
| NEDg | Description generation | batch_69bd683417b08190bc4e08638a30c0ec |
completed | March 20, 2026, 3:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bd68b4681c8190abb170ccb054cd05 |
completed | March 20, 2026, 3:33 p.m. |
Created at: March 20, 2026, 1 p.m.