Triple
T12710086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Florida Airport |
E303694
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
TCO
TCO is the IATA airport code for La Florida Airport, which serves the city of Tumaco in Colombia.
|
E996806
|
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: TCO | Statement: [La Florida Airport, IATAcode, TCO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TCO Context triple: [La Florida Airport, IATAcode, TCO]
-
A.
TCO
TCO is a commonly used abbreviation for the Cleveland Orchestra, one of the leading symphony orchestras in the United States.
-
B.
TCO
TCO is an abbreviation commonly used to refer to Texas peace officers in law enforcement contexts.
-
C.
TC
TC is the standard abbreviation for the IEEE Transactions on Computers, a leading peer-reviewed journal covering research in computer science and engineering.
-
D.
TC
TC is the common abbreviation for the Trilateral Commission, a non-governmental policy discussion group that brings together leaders from North America, Europe, and Asia to address global issues.
-
E.
TC
TC is the two-letter ISO 3166-1 alpha-2 country code assigned to the Turks and Caicos Islands.
- 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: TCO Triple: [La Florida Airport, IATAcode, TCO]
Generated description
TCO is the IATA airport code for La Florida Airport, which serves the city of Tumaco in Colombia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TCO Target entity description: TCO is the IATA airport code for La Florida Airport, which serves the city of Tumaco in Colombia.
-
A.
TCO
TCO is a commonly used abbreviation for the Cleveland Orchestra, one of the leading symphony orchestras in the United States.
-
B.
TCO
TCO is an abbreviation commonly used to refer to Texas peace officers in law enforcement contexts.
-
C.
TC
TC is the standard abbreviation for the IEEE Transactions on Computers, a leading peer-reviewed journal covering research in computer science and engineering.
-
D.
TC
TC is the commonly used abbreviation for Portugal’s Constitutional Court, the supreme body responsible for reviewing the constitutionality of laws and ensuring compliance with the Portuguese Constitution.
-
E.
TC
TC is the vehicle registration code used on license plates for the Tachov district in the Czech Republic.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96207b2d881908314efc3e350aa78 |
completed | April 10, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671b8f43081909d4a8e4241c813a1 |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f672ac07908190bd2dfe90d55a13c1 |
completed | May 2, 2026, 9:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67360b530819085d5db2aa0b7513d |
completed | May 2, 2026, 9:57 p.m. |
Created at: April 9, 2026, 5:23 p.m.