Triple
T7949384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cargolux Italia |
E184575
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object |
ICV
ICV is the ICAO airline designator used to identify Cargolux Italia in international aviation operations.
|
E704592
|
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: ICV | Statement: [Cargolux Italia, ICAOCode, ICV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ICV Context triple: [Cargolux Italia, ICAOCode, ICV]
-
A.
CIVC
CIVC is the French interprofessional body that regulates, protects, and promotes the Champagne wine industry and its appellation.
-
B.
ICG
ICG is the maritime law enforcement and search-and-rescue agency of India responsible for protecting the country’s territorial waters and maritime interests.
-
C.
EIC
EIC is the common abbreviation for the British East India Company, the powerful trading corporation that played a central role in establishing British rule in India.
-
D.
EIC
EIC is a category of long-distance passenger trains in Poland, offering higher-standard intercity services operated by PKP Intercity.
-
E.
ICR
ICR is the abbreviated name of the Institute for Conservation Research, an organization focused on scientific research to support wildlife and habitat conservation.
- 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: ICV Triple: [Cargolux Italia, ICAOCode, ICV]
Generated description
ICV is the ICAO airline designator used to identify Cargolux Italia in international aviation operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ICV Target entity description: ICV is the ICAO airline designator used to identify Cargolux Italia in international aviation operations.
-
A.
CIVC
CIVC is the French interprofessional body that regulates, protects, and promotes the Champagne wine industry and its appellation.
-
B.
ICG
ICG is the maritime law enforcement and search-and-rescue agency of India responsible for protecting the country’s territorial waters and maritime interests.
-
C.
EIC
EIC is the common abbreviation for the British East India Company, the powerful trading corporation that played a central role in establishing British rule in India.
-
D.
EIC
EIC is a category of long-distance passenger trains in Poland, offering higher-standard intercity services operated by PKP Intercity.
-
E.
ICR
ICR is the abbreviated name of the Institute for Conservation Research, an organization focused on scientific research to support wildlife and habitat conservation.
- 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_69ca8292cba881908a64427b938dac47 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b2d09a4819097aa49e29a5426ec |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe03c7d308190aec1172415be995c |
completed | March 31, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_69cbe4383d0c819085e7c95e7b0be16e |
completed | March 31, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc34a83cec81908aba7afbaea53449 |
completed | March 31, 2026, 8:55 p.m. |
Created at: March 30, 2026, 5:10 p.m.