Triple
T2366261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Compagnie Générale de Navigation sur le lac Léman |
E47386
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
CGN
CGN is a Swiss company that operates passenger ferry and cruise services on Lake Geneva.
|
E261422
|
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: CGN | Statement: [Compagnie Générale de Navigation sur le lac Léman, shortName, CGN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CGN Context triple: [Compagnie Générale de Navigation sur le lac Léman, shortName, CGN]
-
A.
CGF
CGF is the abbreviation for the Commonwealth Games Federation, the international organization responsible for overseeing and managing the Commonwealth Games and related sporting events.
-
B.
SGN
SGN is the IATA airport code for Tan Son Nhat International Airport, the main international gateway serving Ho Chi Minh City, Vietnam.
-
C.
GNB
GNB is the commonly used abbreviation for the Good News Bible, a modern English translation of the Christian Bible known for its clear and simple language.
-
D.
GNB
GNB is the three-letter ISO 3166-1 alpha-3 country code assigned to Guinea-Bissau.
-
E.
GN
GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
- 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: CGN Triple: [Compagnie Générale de Navigation sur le lac Léman, shortName, CGN]
Generated description
CGN is a Swiss company that operates passenger ferry and cruise services on Lake Geneva.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CGN Target entity description: CGN is a Swiss company that operates passenger ferry and cruise services on Lake Geneva.
-
A.
CGF
CGF is the abbreviation for the Commonwealth Games Federation, the international organization responsible for overseeing and managing the Commonwealth Games and related sporting events.
-
B.
SGN
SGN is the IATA airport code for Tan Son Nhat International Airport, the main international gateway serving Ho Chi Minh City, Vietnam.
-
C.
GNB
GNB is the commonly used abbreviation for the Good News Bible, a modern English translation of the Christian Bible known for its clear and simple language.
-
D.
GNB
GNB is the three-letter ISO 3166-1 alpha-3 country code assigned to Guinea-Bissau.
-
E.
GN
GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
- 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_69a88a1a4a6081908645b0f2914521ab |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc749f8e0819094144b9dd9db8790 |
completed | March 7, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea89ae4688190be2e0825f0875ed3 |
completed | March 9, 2026, 11:01 a.m. |
| NEDg | Description generation | batch_69aeac4b9b108190b440c991342df9b6 |
completed | March 9, 2026, 11:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aeacc8445481908a3ae8bd62493413 |
completed | March 9, 2026, 11:19 a.m. |
Created at: March 4, 2026, 7:55 p.m.