Triple
T7892338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krabi International Airport |
E183265
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
KBV
KBV is the IATA airport code for Krabi International Airport, a major gateway to Thailand’s Krabi province and nearby Andaman Sea destinations.
|
E697333
|
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: KBV | Statement: [Krabi International Airport, IATAcode, KBV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KBV Context triple: [Krabi International Airport, IATAcode, KBV]
-
A.
BKV
BKV is the main public transportation company of Budapest, Hungary, responsible for operating the city’s metro, trams, buses, and trolleybuses.
-
B.
Kbn
Kbn is the ancient Egyptian name for the coastal city-state of Byblos, a major Phoenician trading center on the Mediterranean.
-
C.
KBKL
KBKL is the ICAO airport code for Burke Lakefront Airport, a public airport located on the shore of Lake Erie in Cleveland, Ohio.
-
D.
k_B
k_B is the conventional symbol used to denote the Boltzmann constant, a fundamental physical constant that relates temperature to energy at the particle level.
-
E.
BK
BK is a common abbreviation for Brooklyn, a borough of New York City known for its cultural diversity, arts scene, and historic neighborhoods.
- 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: KBV Triple: [Krabi International Airport, IATAcode, KBV]
Generated description
KBV is the IATA airport code for Krabi International Airport, a major gateway to Thailand’s Krabi province and nearby Andaman Sea destinations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KBV Target entity description: KBV is the IATA airport code for Krabi International Airport, a major gateway to Thailand’s Krabi province and nearby Andaman Sea destinations.
-
A.
BKV
BKV is the main public transportation company of Budapest, Hungary, responsible for operating the city’s metro, trams, buses, and trolleybuses.
-
B.
Kbn
Kbn is the ancient Egyptian name for the coastal city-state of Byblos, a major Phoenician trading center on the Mediterranean.
-
C.
KBKL
KBKL is the ICAO airport code for Burke Lakefront Airport, a public airport located on the shore of Lake Erie in Cleveland, Ohio.
-
D.
k_B
k_B is the conventional symbol used to denote the Boltzmann constant, a fundamental physical constant that relates temperature to energy at the particle level.
-
E.
BK
BK is a common abbreviation for Brooklyn, a borough of New York City known for its cultural diversity, arts scene, and historic neighborhoods.
- 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_69ca828c474c8190a254d6499871eaff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39fef2e48190a6282c217c33c57a |
completed | March 31, 2026, 3:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5ba51ee48190b654a931da2c049f |
completed | March 31, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_69cb5f1e84fc8190b535016cb69405b4 |
completed | March 31, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb76a214488190b90e5db28511daa0 |
completed | March 31, 2026, 7:24 a.m. |
Created at: March 30, 2026, 5 p.m.