Triple
T2248238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ethiopian Airlines |
E49555
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object |
ETH
ETH is the ICAO airline designator used to identify Ethiopian Airlines in international aviation operations.
|
E248085
|
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: ETH | Statement: [Ethiopian Airlines, ICAOCode, ETH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ETH Context triple: [Ethiopian Airlines, ICAOCode, ETH]
-
A.
ETH
ETH is a leading Swiss public research university in Zurich renowned for its excellence in science, engineering, and technology.
-
B.
Ether
Ether is the native cryptocurrency of the Ethereum blockchain, used to pay for transactions, execute smart contracts, and secure the network.
-
C.
Ethereum blockchain
The Ethereum blockchain is a decentralized, open-source platform that supports programmable smart contracts and powers a wide ecosystem of cryptocurrencies and decentralized applications (dApps).
-
D.
ERC
The ERC is a major European funding body that supports pioneering, investigator-driven research across all scientific disciplines.
-
E.
ETCs
ETCs (Exchange Traded Commodities) are exchange-traded securities that track the performance of individual commodities or commodity indices, allowing investors to gain commodity exposure via the stock market.
- 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: ETH Triple: [Ethiopian Airlines, ICAOCode, ETH]
Generated description
ETH is the ICAO airline designator used to identify Ethiopian Airlines in international aviation operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ETH Target entity description: ETH is the ICAO airline designator used to identify Ethiopian Airlines in international aviation operations.
-
A.
ETH
ETH is a leading Swiss public research university in Zurich renowned for its excellence in science, engineering, and technology.
-
B.
Ether
Ether is the native cryptocurrency of the Ethereum blockchain, used to pay for transactions, execute smart contracts, and secure the network.
-
C.
Ethereum blockchain
The Ethereum blockchain is a decentralized, open-source platform that supports programmable smart contracts and powers a wide ecosystem of cryptocurrencies and decentralized applications (dApps).
-
D.
ERC
The ERC is a major European funding body that supports pioneering, investigator-driven research across all scientific disciplines.
-
E.
ETCs
ETCs (Exchange Traded Commodities) are exchange-traded securities that track the performance of individual commodities or commodity indices, allowing investors to gain commodity exposure via the stock market.
- 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_69a88aa979788190ad6500f1d8eee2fc |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0ed5c38819080b45ea398fb59f2 |
completed | March 7, 2026, 6:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6b1719c481909ec3ff03d2a6f3bd |
completed | March 9, 2026, 6:39 a.m. |
| NEDg | Description generation | batch_69ae6bcfd2c481908f69df77f40655e2 |
completed | March 9, 2026, 6:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae6c4d9c04819086e3091bbbf16099 |
completed | March 9, 2026, 6:44 a.m. |
Created at: March 4, 2026, 7:47 p.m.