Triple
T22405853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Coruña Airport |
E553878
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
LECO
LECO is the ICAO airport code for A Coruña Airport, a commercial airport serving the city of A Coruña in northwestern Spain.
|
E1534942
|
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: LECO | Statement: [A Coruña Airport, ICAOcode, LECO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LECO Context triple: [A Coruña Airport, ICAOcode, LECO]
-
A.
Analytika protera
Analytika protera is Aristotle’s foundational treatise on syllogistic logic and deductive reasoning, forming a core part of his Organon.
-
B.
LECU
LECU is the ICAO airport code for Cuatro Vientos Air Base, a historic military and general aviation airfield serving the Madrid area in Spain.
-
C.
LCE
LCE is the Marine Corps Logistics Combat Element, the component responsible for providing comprehensive combat service support to Marine Air-Ground Task Forces.
-
D.
Beckman
Beckman is a German-origin surname borne by various notable individuals across fields such as science, business, and the arts.
-
E.
Meco
Meco is a municipality in central Spain’s Community of Madrid, known for its location in the Henares Corridor near Alcalá de Henares.
- 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: LECO Triple: [A Coruña Airport, ICAOcode, LECO]
Generated description
LECO is the ICAO airport code for A Coruña Airport, a commercial airport serving the city of A Coruña in northwestern Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LECO Target entity description: LECO is the ICAO airport code for A Coruña Airport, a commercial airport serving the city of A Coruña in northwestern Spain.
-
A.
Analytika protera
Analytika protera is Aristotle’s foundational treatise on syllogistic logic and deductive reasoning, forming a core part of his Organon.
-
B.
LECU
LECU is the ICAO airport code for Cuatro Vientos Air Base, a historic military and general aviation airfield serving the Madrid area in Spain.
-
C.
LCE
LCE is the Marine Corps Logistics Combat Element, the component responsible for providing comprehensive combat service support to Marine Air-Ground Task Forces.
-
D.
Beckman
Beckman is a German-origin surname borne by various notable individuals across fields such as science, business, and the arts.
-
E.
Meco
Meco is a municipality in central Spain’s Community of Madrid, known for its location in the Henares Corridor near Alcalá de Henares.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158b835e88190a388e19577df771e |
completed | April 29, 2026, 1:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0af0dd644081908a0c7d59160a2262 |
completed | May 18, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_6a0af18c830c81909aaa58cb60915e8d |
completed | May 18, 2026, 11:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0af1e8ebb48190bf8e093c3ed8d495 |
completed | May 18, 2026, 11:03 a.m. |
Created at: April 16, 2026, 8:46 p.m.