Triple
T2199455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José Joaquín de Olmedo International Airport |
E50454
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
SEGU
SEGU is the ICAO airport code for José Joaquín de Olmedo International Airport, the main air gateway serving Guayaquil, Ecuador.
|
E241451
|
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: SEGU | Statement: [José Joaquín de Olmedo International Airport, ICAOcode, SEGU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SEGU Context triple: [José Joaquín de Olmedo International Airport, ICAOcode, SEGU]
-
A.
SEK
SEK is the official currency code for the Swedish krona, the national currency of Sweden.
-
B.
SE
SE is the official two-letter postal abbreviation for the Brazilian state of Sergipe.
-
C.
SE
SE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Sweden in international standards and systems.
-
D.
SE
SE is the standard abbreviation for a Societas Europaea, a public limited-liability company structure that allows firms to operate across European Union member states under a single legal form.
-
E.
SEBL
SEBL was the stock ticker symbol for Siebel Systems, a prominent customer relationship management (CRM) software company later acquired by Oracle.
- 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: SEGU Triple: [José Joaquín de Olmedo International Airport, ICAOcode, SEGU]
Generated description
SEGU is the ICAO airport code for José Joaquín de Olmedo International Airport, the main air gateway serving Guayaquil, Ecuador.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SEGU Target entity description: SEGU is the ICAO airport code for José Joaquín de Olmedo International Airport, the main air gateway serving Guayaquil, Ecuador.
-
A.
SEK
SEK is the official currency code for the Swedish krona, the national currency of Sweden.
-
B.
SE
SE is the official two-letter postal abbreviation for the Brazilian state of Sergipe.
-
C.
SE
SE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Sweden in international standards and systems.
-
D.
SE
SE is the standard abbreviation for a Societas Europaea, a public limited-liability company structure that allows firms to operate across European Union member states under a single legal form.
-
E.
SEBL
SEBL was the stock ticker symbol for Siebel Systems, a prominent customer relationship management (CRM) software company later acquired by Oracle.
- 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_69a88b044ab48190add007487680f009 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbf9e99f08190892d34485c8f2f25 |
completed | March 7, 2026, 6:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5dbb6e8481908610337cfd2a4bd1 |
completed | March 9, 2026, 5:42 a.m. |
| NEDg | Description generation | batch_69ae5e4a45a08190bd96af6cda06ab35 |
completed | March 9, 2026, 5:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5ec4a35c8190bffc7a183497e764 |
completed | March 9, 2026, 5:46 a.m. |
Created at: March 4, 2026, 7:46 p.m.