Triple
T18918115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Route Napoléon |
E462773
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
N85
N85 is a historic French road known as the Route Napoléon, tracing Napoleon Bonaparte’s 1815 march from the Mediterranean coast toward Grenoble through the Alps.
|
E1349898
|
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: N85 | Statement: [Route Napoléon, alsoKnownAs, N85]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: N85 Context triple: [Route Napoléon, alsoKnownAs, N85]
-
A.
N86
N86 is a Nokia smartphone model known for its dual-slider design and advanced camera features for its time.
-
B.
N88
N88 is a French national highway that connects several major towns and regions in south-central France, notably linking areas such as Toulouse and Lyon via Albi and Le Puy-en-Velay.
-
C.
N8
N8 is a specific neuraminidase antigenic subtype found on the surface of certain influenza A viruses, used to classify and distinguish viral strains.
-
D.
N8
N8 is a designated national highway route, commonly used to identify a major intercity road in certain countries’ transportation networks.
-
E.
N84
N84 is a regional road that serves as a key junction route connecting to the town of Bastogne in Belgium.
- 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: N85 Triple: [Route Napoléon, alsoKnownAs, N85]
Generated description
N85 is a historic French road known as the Route Napoléon, tracing Napoleon Bonaparte’s 1815 march from the Mediterranean coast toward Grenoble through the Alps.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: N85 Target entity description: N85 is a historic French road known as the Route Napoléon, tracing Napoleon Bonaparte’s 1815 march from the Mediterranean coast toward Grenoble through the Alps.
-
A.
N86
N86 is a Nokia smartphone model known for its dual-slider design and advanced camera features for its time.
-
B.
N88
N88 is a French national highway that connects several major towns and regions in south-central France, notably linking areas such as Toulouse and Lyon via Albi and Le Puy-en-Velay.
-
C.
N8
N8 is a designated national highway route, commonly used to identify a major intercity road in certain countries’ transportation networks.
-
D.
N8
N8 is a specific neuraminidase antigenic subtype found on the surface of certain influenza A viruses, used to classify and distinguish viral strains.
-
E.
N84
N84 is a regional road that serves as a key junction route connecting to the town of Bastogne in Belgium.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c62884988190a362ada1a0a47134 |
completed | April 20, 2026, 6:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0591165cbc8190a0aafbd6611c8095 |
completed | May 14, 2026, 9:08 a.m. |
| NEDg | Description generation | batch_6a05965ab9a081909e430d9bef63c820 |
completed | May 14, 2026, 9:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0596c2ee4c8190b3b4db9afa4d1bed |
completed | May 14, 2026, 9:32 a.m. |
Created at: April 10, 2026, 11:59 a.m.