Triple
T10445485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linköping City Airport |
E246274
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
ESSL
ESSL is the ICAO airport code for Linköping City Airport in Sweden, used in aviation operations and flight planning.
|
E864244
|
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: ESSL | Statement: [Linköping City Airport, ICAOcode, ESSL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ESSL Context triple: [Linköping City Airport, ICAOcode, ESSL]
-
A.
ESSV
ESSV is the ICAO airport code for Visby Airport, the main airport serving the island of Gotland in Sweden.
-
B.
ESS
ESS is the commonly used abbreviation for the European Standardization System, the framework through which European standards are developed and harmonized.
-
C.
ES-LE
ES-LE is the ISO 3166-2 subdivision code that identifies the province of León in Spain.
-
D.
ESE
ESE is a highly competitive Indian national-level examination conducted by the Union Public Service Commission to recruit engineers for prestigious technical and managerial positions in various government departments and public sector organizations.
-
E.
ESM
ESM is an intergovernmental financial institution of the eurozone that provides financial assistance to member states in economic distress to safeguard financial stability.
- 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: ESSL Triple: [Linköping City Airport, ICAOcode, ESSL]
Generated description
ESSL is the ICAO airport code for Linköping City Airport in Sweden, used in aviation operations and flight planning.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ESSL Target entity description: ESSL is the ICAO airport code for Linköping City Airport in Sweden, used in aviation operations and flight planning.
-
A.
ESSV
ESSV is the ICAO airport code for Visby Airport, the main airport serving the island of Gotland in Sweden.
-
B.
ESS
ESS is the commonly used abbreviation for the European Standardization System, the framework through which European standards are developed and harmonized.
-
C.
ES-LE
ES-LE is the ISO 3166-2 subdivision code that identifies the province of León in Spain.
-
D.
ESE
ESE is a highly competitive Indian national-level examination conducted by the Union Public Service Commission to recruit engineers for prestigious technical and managerial positions in various government departments and public sector organizations.
-
E.
ESM
ESM is the abbreviation for NASA’s Exceptional Service Medal, an honor awarded to individuals for significant, sustained contributions to the agency’s mission.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fdbf81508190a160edea85105d3a |
completed | April 7, 2026, 12:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87eeae8788190b63534fa4f942ead |
completed | April 10, 2026, 4:39 a.m. |
| NEDg | Description generation | batch_69d886c3fdcc8190a67a7f7788b8a2e8 |
completed | April 10, 2026, 5:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d88dc15ab481909011c5de93bbab14 |
completed | April 10, 2026, 5:42 a.m. |
Created at: April 6, 2026, 12:16 p.m.