Triple
T15520002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R699 road |
E368937
|
entity |
| Predicate | hasRouteNumber |
P1864
|
FINISHED |
| Object |
R699
R699 is a regional road in Ireland designated with the route number R699.
|
E1162834
|
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: R699 | Statement: [R699 road, hasRouteNumber, R699]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: R699 Context triple: [R699 road, hasRouteNumber, R699]
-
A.
R62
The R62 is a class of New York City Subway rolling stock built in the 1980s for use on A Division (numbered) lines.
-
B.
R99
R99 is a designation commonly used to refer to the 99th iteration or version of a software, standard, or product release.
-
C.
R68
The R68 is a class of New York City Subway cars built in the 1980s for the B Division, known for their stainless-steel bodies and use on various lettered lines.
-
D.
R59
R59 is BMW’s internal model code for the Mini Roadster, a two-seat convertible variant of the modern Mini lineup.
-
E.
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.
- 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: R699 Triple: [R699 road, hasRouteNumber, R699]
Generated description
R699 is a regional road in Ireland designated with the route number R699.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: R699 Target entity description: R699 is a regional road in Ireland designated with the route number R699.
-
A.
R62
The R62 is a class of New York City Subway rolling stock built in the 1980s for use on A Division (numbered) lines.
-
B.
R99
R99 is a designation commonly used to refer to the 99th iteration or version of a software, standard, or product release.
-
C.
R68
The R68 is a class of New York City Subway cars built in the 1980s for the B Division, known for their stainless-steel bodies and use on various lettered lines.
-
D.
R59
R59 is BMW’s internal model code for the Mini Roadster, a two-seat convertible variant of the modern Mini lineup.
-
E.
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.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e040343d9c8190a7d1f197c108bd9d |
completed | April 16, 2026, 1:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d52cf1c8190b18bff0b925355a3 |
completed | May 9, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69ff414a6e888190969b6ccde070ff24 |
completed | May 9, 2026, 2:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff41acd1cc8190a78f23234c8179d3 |
completed | May 9, 2026, 2:16 p.m. |
Created at: April 10, 2026, 4:04 a.m.