Triple
T11858573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayelsa International Airport |
E282101
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
BZA
BZA is the IATA airport code for Bayelsa International Airport in Bayelsa State, Nigeria.
|
E951737
|
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: BZA | Statement: [Bayelsa International Airport, IATAcode, BZA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BZA Context triple: [Bayelsa International Airport, IATAcode, BZA]
-
A.
BZA
BZA is the station code for Vijayawada Junction, one of the busiest and most important railway hubs in the Indian Railways network.
-
B.
BZ
BZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Belize.
-
C.
BZ
BZ is the commonly used abbreviation for the Ministry of Foreign Affairs of the Netherlands, which is responsible for the country’s foreign policy and international relations.
-
D.
BZ
BZ is the vehicle registration code used on license plates for the municipality of Rammenau in Germany.
-
E.
BZ
BZ is the vehicle registration code used for the district and city of Bautzen in the German state of Saxony.
- 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: BZA Triple: [Bayelsa International Airport, IATAcode, BZA]
Generated description
BZA is the IATA airport code for Bayelsa International Airport in Bayelsa State, Nigeria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BZA Target entity description: BZA is the IATA airport code for Bayelsa International Airport in Bayelsa State, Nigeria.
-
A.
BZA
BZA is the station code for Vijayawada Junction, one of the busiest and most important railway hubs in the Indian Railways network.
-
B.
BZ
BZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Belize.
-
C.
BZ
BZ is the commonly used abbreviation for the Ministry of Foreign Affairs of the Netherlands, which is responsible for the country’s foreign policy and international relations.
-
D.
BZ
BZ is the vehicle registration code used for the district and city of Bautzen in the German state of Saxony.
-
E.
BZ
BZ is the vehicle registration code used on license plates for the municipality of Rammenau in Germany.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a699089c8190b7a298baf13dcded |
completed | April 10, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f2816404ac81909129347607fb5fd3 |
completed | April 29, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_69f28d363cac8190b961f17245db493c |
completed | April 29, 2026, 10:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f29150bf508190bdf037d40e445e6d |
completed | April 29, 2026, 11:16 p.m. |
Created at: April 8, 2026, 9:43 p.m.