Triple
T13158888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leros Municipal Airport |
E312668
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
LGLE
LGLE is the ICAO airport code for Leros Municipal Airport, a small regional airport serving the Greek island of Leros in the Aegean Sea.
|
E1024392
|
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: LGLE | Statement: [Leros Municipal Airport, ICAOcode, LGLE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LGLE Context triple: [Leros Municipal Airport, ICAOcode, LGLE]
-
A.
GLEX
GLEX is the ICAO aircraft type designator for the Bombardier Global Express family of long-range business jets.
-
B.
LGK
LGK is the IATA airport code for Langkawi International Airport, the main air gateway to the Langkawi archipelago in Malaysia.
-
C.
LGS
LGS is a severe, childhood-onset epileptic encephalopathy characterized by multiple types of seizures, cognitive impairment, and a distinctive EEG pattern.
-
D.
GL
GL is the postcode area in the United Kingdom that covers Cheltenham and surrounding parts of Gloucestershire.
-
E.
GL
GL is the stock ticker symbol for Globe Life Inc., a U.S.-based life and health insurance company traded on the New York Stock Exchange.
- 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: LGLE Triple: [Leros Municipal Airport, ICAOcode, LGLE]
Generated description
LGLE is the ICAO airport code for Leros Municipal Airport, a small regional airport serving the Greek island of Leros in the Aegean Sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LGLE Target entity description: LGLE is the ICAO airport code for Leros Municipal Airport, a small regional airport serving the Greek island of Leros in the Aegean Sea.
-
A.
GLEX
GLEX is the ICAO aircraft type designator for the Bombardier Global Express family of long-range business jets.
-
B.
LGK
LGK is the IATA airport code for Langkawi International Airport, the main air gateway to the Langkawi archipelago in Malaysia.
-
C.
LGS
LGS is a severe, childhood-onset epileptic encephalopathy characterized by multiple types of seizures, cognitive impairment, and a distinctive EEG pattern.
-
D.
GL
GL is the postcode area in the United Kingdom that covers Cheltenham and surrounding parts of Gloucestershire.
-
E.
GL
GL is the stock ticker symbol for Globe Life Inc., a U.S.-based life and health insurance company traded on the New York Stock Exchange.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c0971008190869e9de710f4c579 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaf2ae688190b3484989791977ce |
completed | May 3, 2026, 6:28 a.m. |
| NEDg | Description generation | batch_69f6ebec15188190a8a07af6eb447edf |
completed | May 3, 2026, 6:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6ec7fe56481909e1ed69df593fa34 |
completed | May 3, 2026, 6:34 a.m. |
Created at: April 9, 2026, 9:12 p.m.