Triple
T9275007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tartu Airport |
E222923
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
EETU
EETU is the ICAO airport code for Tartu Airport, a regional airport serving the city of Tartu in Estonia.
|
E787947
|
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: EETU | Statement: [Tartu Airport, ICAOcode, EETU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EETU Context triple: [Tartu Airport, ICAOcode, EETU]
-
A.
EETN
EETN is the ICAO airport code for Lennart Meri Tallinn Airport, the main international airport serving Tallinn, Estonia.
-
B.
EET
EET is a time zone used in parts of Eastern Europe and the Eastern Mediterranean, typically two hours ahead of Coordinated Universal Time (UTC+2).
-
C.
EEA
EEA is the Massachusetts state agency responsible for overseeing energy policy, environmental protection, and natural resource management.
-
D.
EEA
EEA is the European Union’s agency responsible for providing independent information on the environment to support sustainable development and environmental policy.
-
E.
EEA
EEA is a regional economic integration framework that extends the European Union’s single market to certain non-EU countries, allowing the free movement of goods, services, people, and capital among its members.
- 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: EETU Triple: [Tartu Airport, ICAOcode, EETU]
Generated description
EETU is the ICAO airport code for Tartu Airport, a regional airport serving the city of Tartu in Estonia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EETU Target entity description: EETU is the ICAO airport code for Tartu Airport, a regional airport serving the city of Tartu in Estonia.
-
A.
EETN
EETN is the ICAO airport code for Lennart Meri Tallinn Airport, the main international airport serving Tallinn, Estonia.
-
B.
EET
EET is a time zone used in parts of Eastern Europe and the Eastern Mediterranean, typically two hours ahead of Coordinated Universal Time (UTC+2).
-
C.
EEA
EEA is the Massachusetts state agency responsible for overseeing energy policy, environmental protection, and natural resource management.
-
D.
EEA
EEA is the European Union’s agency responsible for providing independent information on the environment to support sustainable development and environmental policy.
-
E.
EEA
EEA is a regional economic integration framework that extends the European Union’s single market to certain non-EU countries, allowing the free movement of goods, services, people, and capital among its members.
- 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_69ca841ffe208190aa7bcffbef2f8379 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd078a045c8190b2c4d1ec64b932ad |
completed | April 1, 2026, 11:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09c3dd140819099fc0e95c4d48ba9 |
completed | April 4, 2026, 5:06 a.m. |
| NEDg | Description generation | batch_69d09cf1f2f48190b53e062c3eb4565d |
completed | April 4, 2026, 5:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d09d9739d48190ac3b240390f36c38 |
completed | April 4, 2026, 5:11 a.m. |
Created at: March 30, 2026, 7:34 p.m.