Triple
T2624156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Córdoba, Argentina |
E59076
|
entity |
| Predicate | airportIATAcode |
P418
|
FINISHED |
| Object |
COR
COR is the IATA airport code for Ingeniero Aeronáutico Ambrosio L.V. Taravella International Airport serving Córdoba, Argentina.
|
E282904
|
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: COR | Statement: [Córdoba, Argentina, airportIATAcode, COR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: COR Context triple: [Córdoba, Argentina, airportIATAcode, COR]
-
A.
CR
CR is the two-letter ISO 3166-1 alpha-2 country code representing Costa Rica.
-
B.
CR
CR was the stock ticker symbol for Conrail, a major U.S. freight railroad company formed from bankrupt Northeastern railroads and later acquired by CSX and Norfolk Southern.
-
C.
CoR
CoR is the commonly used abbreviation for the European Committee of the Regions, the EU’s advisory body representing local and regional authorities.
-
D.
CO
CO is the two-letter ISO 3166-1 alpha-2 country code assigned to Colombia for international identification and standardization purposes.
-
E.
CO
CO is the Italian vehicle registration code for the Province of Como in the Lombardy region.
- 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: COR Triple: [Córdoba, Argentina, airportIATAcode, COR]
Generated description
COR is the IATA airport code for Ingeniero Aeronáutico Ambrosio L.V. Taravella International Airport serving Córdoba, Argentina.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: COR Target entity description: COR is the IATA airport code for Ingeniero Aeronáutico Ambrosio L.V. Taravella International Airport serving Córdoba, Argentina.
-
A.
CR
CR is the two-letter ISO 3166-1 alpha-2 country code representing Costa Rica.
-
B.
CR
CR was the stock ticker symbol for Conrail, a major U.S. freight railroad company formed from bankrupt Northeastern railroads and later acquired by CSX and Norfolk Southern.
-
C.
CoR
CoR is the commonly used abbreviation for the European Committee of the Regions, the EU’s advisory body representing local and regional authorities.
-
D.
CO
CO is the two-letter ISO 3166-1 alpha-2 country code assigned to Colombia for international identification and standardization purposes.
-
E.
CO
CO is the Italian vehicle registration code for the Province of Como in the Lombardy region.
- 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_69ab4ac558388190962492cd2e1b0ce6 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8af06fc8190ab48d746b8c8892b |
completed | March 7, 2026, 7:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af909b7d9881908930a98d004998fb |
completed | March 10, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_69af913e20848190a25c90617df6ea6f |
completed | March 10, 2026, 3:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af91e0ef408190b1ab9cb9f8bbdaca |
completed | March 10, 2026, 3:37 a.m. |
Created at: March 6, 2026, 9:50 p.m.