Triple
T2928573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Araucanía International Airport |
E78903
|
entity |
| Predicate | hasIATAcode |
P2569
|
FINISHED |
| Object |
ZCO
ZCO is the IATA airport code for La Araucanía International Airport, which serves the Temuco region in southern Chile.
|
E312280
|
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: ZCO | Statement: [La Araucanía International Airport, hasIATAcode, ZCO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZCO Context triple: [La Araucanía International Airport, hasIATAcode, ZCO]
-
A.
ZS
ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
-
B.
ZG
ZG is the vehicle registration code used on license plates for the city of Zagreb, the capital of Croatia.
-
C.
ZA
ZA is the ISO 3166-1 alpha-2 country code for South Africa.
-
D.
ZCHS
ZCHS is a public high school serving the Zionsville, Indiana community, known for its strong academics and extracurricular programs.
-
E.
WZO
WZO is the commonly used abbreviation for the World Zionist Organization, a global body founded to promote Jewish self-determination and support for the State of Israel.
- 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: ZCO Triple: [La Araucanía International Airport, hasIATAcode, ZCO]
Generated description
ZCO is the IATA airport code for La Araucanía International Airport, which serves the Temuco region in southern Chile.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ZCO Target entity description: ZCO is the IATA airport code for La Araucanía International Airport, which serves the Temuco region in southern Chile.
-
A.
ZS
ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
-
B.
ZG
ZG is the vehicle registration code used on license plates for the city of Zagreb, the capital of Croatia.
-
C.
ZA
ZA is the ISO 3166-1 alpha-2 country code for South Africa.
-
D.
ZCHS
ZCHS is a public high school serving the Zionsville, Indiana community, known for its strong academics and extracurricular programs.
-
E.
WZO
WZO is the commonly used abbreviation for the World Zionist Organization, a global body founded to promote Jewish self-determination and support for the State of Israel.
- 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_69ad8b0d40b481908bc2a5fa2e73c3fb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad97ff0ddc8190acba9863bbe4f54b |
completed | March 8, 2026, 3:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0866c24c88190af6c5246b5c78c70 |
completed | March 10, 2026, 9 p.m. |
| NEDg | Description generation | batch_69b0d55128fc8190919354199e4c21bf |
completed | March 11, 2026, 2:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0d5f35adc81909af0a7cafbeb92de |
completed | March 11, 2026, 2:39 a.m. |
Created at: March 8, 2026, 2:55 p.m.