Triple
T18430175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalibo International Airport |
E450246
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
KLO
KLO is the IATA airport code for Kalibo International Airport, a major gateway to the resort island of Boracay in the Philippines.
|
E1323167
|
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: KLO | Statement: [Kalibo International Airport, IATAcode, KLO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KLO Context triple: [Kalibo International Airport, IATAcode, KLO]
-
A.
KLE
KLE is the vehicle registration code for the district of Cleves (Kleve) in the German state of North Rhine-Westphalia.
-
B.
KLAL
KLAL is the ICAO airport code for Lakeland Linder International Airport in Lakeland, Florida, a regional airport known for general aviation and cargo operations.
-
C.
KALO
KALO is the ICAO airport code for Waterloo Regional Airport in Waterloo, Iowa, United States.
-
D.
KLu
KLu is the commonly used abbreviation for the Royal Netherlands Air Force, the aerial warfare branch of the Dutch armed forces.
-
E.
KLS
KLS is a research center at Kiel University focused on interdisciplinary life science studies, including molecular biology, medicine, and environmental sciences.
- 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: KLO Triple: [Kalibo International Airport, IATAcode, KLO]
Generated description
KLO is the IATA airport code for Kalibo International Airport, a major gateway to the resort island of Boracay in the Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KLO Target entity description: KLO is the IATA airport code for Kalibo International Airport, a major gateway to the resort island of Boracay in the Philippines.
-
A.
KLE
KLE is the vehicle registration code for the district of Cleves (Kleve) in the German state of North Rhine-Westphalia.
-
B.
KLAL
KLAL is the ICAO airport code for Lakeland Linder International Airport in Lakeland, Florida, a regional airport known for general aviation and cargo operations.
-
C.
KALO
KALO is the ICAO airport code for Waterloo Regional Airport in Waterloo, Iowa, United States.
-
D.
KLu
KLu is the commonly used abbreviation for the Royal Netherlands Air Force, the aerial warfare branch of the Dutch armed forces.
-
E.
KLS
KLS is the IATA airport code for Southwest Washington Regional Airport, a public airport serving the Longview–Kelso area in Washington State, USA.
- 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51b16b9c881908245c888a4b785bf |
completed | April 19, 2026, 6:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03f0adb1bc8190bcc31dbf8af17435 |
completed | May 13, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_6a03f1caafbc81908c214e13d2cc79ae |
completed | May 13, 2026, 3:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03f24041b4819087f11ad189ae467a |
completed | May 13, 2026, 3:38 a.m. |
Created at: April 10, 2026, 11:26 a.m.