Triple
T3657595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yffiniac |
E77569
|
entity |
| Predicate | hasRoadConnection |
P385
|
FINISHED |
| Object |
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.
|
E377299
|
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: RN12 | Statement: [Yffiniac, hasRoadConnection, RN12]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RN12 Context triple: [Yffiniac, hasRoadConnection, RN12]
-
A.
NJ-12
NJ-12 is a New Jersey congressional district represented in the U.S. House of Representatives, encompassing parts of central New Jersey including portions of Mercer, Middlesex, Somerset, and Union counties.
-
B.
RJ-14
RJ-14 is the regional vehicle registration code assigned to motor vehicles registered in Jaipur, the capital city of Rajasthan, India.
-
C.
R11
R11 is the internal station code used by the New York City Subway for the Grand Central–42nd Street complex in Midtown Manhattan.
-
D.
R129
R129 is the fourth-generation Mercedes-Benz SL roadster, renowned for its advanced safety features, refined engineering, and iconic 1990s luxury grand-touring design.
-
E.
R-11
R-11 is a Soviet short-range tactical ballistic missile that formed the basis for the later Scud missile family.
- 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: RN12 Triple: [Yffiniac, hasRoadConnection, RN12]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RN12 Target entity description: 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.
-
A.
NJ-12
NJ-12 is a New Jersey congressional district represented in the U.S. House of Representatives, encompassing parts of central New Jersey including portions of Mercer, Middlesex, Somerset, and Union counties.
-
B.
RJ-14
RJ-14 is the regional vehicle registration code assigned to motor vehicles registered in Jaipur, the capital city of Rajasthan, India.
-
C.
R11
R11 is the internal station code used by the New York City Subway for the Grand Central–42nd Street complex in Midtown Manhattan.
-
D.
R129
R129 is the fourth-generation Mercedes-Benz SL roadster, renowned for its advanced safety features, refined engineering, and iconic 1990s luxury grand-touring design.
-
E.
R-11
R-11 is a Soviet short-range tactical ballistic missile that formed the basis for the later Scud missile family.
- 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_69ad85def5cc8190863dccf55a18bebb |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3d36c1c8190920397a75de4c47d |
completed | March 8, 2026, 6:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4884071c881909daae2f3c510d399 |
completed | March 13, 2026, 9:57 p.m. |
| NEDg | Description generation | batch_69b48ce33a208190bd7cf894a11497a1 |
completed | March 13, 2026, 10:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4aed7f4008190b5adbf3a89f4b5bd |
completed | March 14, 2026, 12:42 a.m. |
Created at: March 8, 2026, 3:24 p.m.