Triple
T19239171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chos Malal |
E481083
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Chos Malal Airport
Chos Malal Airport is a regional public airport serving the town of Chos Malal in Neuquén Province, Argentina.
|
E1367469
|
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: Chos Malal Airport | Statement: [Chos Malal, hasAirport, Chos Malal Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chos Malal Airport Context triple: [Chos Malal, hasAirport, Chos Malal Airport]
-
A.
Chachoán Airport
Chachoán Airport is a regional airport serving the city of Ambato in the central highlands of Ecuador.
-
B.
Pichoy Airport
Pichoy Airport is the main commercial airport serving the city of Valdivia in southern Chile.
-
C.
Chacalluta International Airport
Chacalluta International Airport is the main commercial airport serving the city of Arica in northern Chile, near the border with Peru.
-
D.
Mitú Airport
Mitú Airport is a regional public airport serving the remote town of Mitú in Colombia’s Vaupés Department, providing vital air connectivity to this isolated Amazonian area.
-
E.
Palmerola International Airport
Palmerola International Airport is a major Honduran international airport serving the city of Comayagua and functioning as a key civilian and military air hub in the 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: Chos Malal Airport Triple: [Chos Malal, hasAirport, Chos Malal Airport]
Generated description
Chos Malal Airport is a regional public airport serving the town of Chos Malal in Neuquén Province, Argentina.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chos Malal Airport Target entity description: Chos Malal Airport is a regional public airport serving the town of Chos Malal in Neuquén Province, Argentina.
-
A.
Chachoán Airport
Chachoán Airport is a regional airport serving the city of Ambato in the central highlands of Ecuador.
-
B.
Pichoy Airport
Pichoy Airport is the main commercial airport serving the city of Valdivia in southern Chile.
-
C.
Chacalluta International Airport
Chacalluta International Airport is the main commercial airport serving the city of Arica in northern Chile, near the border with Peru.
-
D.
Mitú Airport
Mitú Airport is a regional public airport serving the remote town of Mitú in Colombia’s Vaupés Department, providing vital air connectivity to this isolated Amazonian area.
-
E.
Palmerola International Airport
Palmerola International Airport is a major Honduran international airport serving the city of Comayagua and functioning as a key civilian and military air hub in the 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5faef827c81909157bbcd4060dfc9 |
completed | April 20, 2026, 10:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a070e671e008190b591cc426c3ead1d |
completed | May 15, 2026, 12:15 p.m. |
| NEDg | Description generation | batch_6a070f2772e881909b3ea02f51c3feb6 |
completed | May 15, 2026, 12:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a070fe766d081909453b1f8563817e8 |
completed | May 15, 2026, 12:21 p.m. |
Created at: April 10, 2026, 1:26 p.m.