Triple
T18111562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Labasa Airport |
E433486
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
NFNL
NFNL is the ICAO airport code for Labasa Airport, a regional airport serving the town of Labasa on Vanua Levu in Fiji.
|
E1307243
|
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: NFNL | Statement: [Labasa Airport, ICAOcode, NFNL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NFNL Context triple: [Labasa Airport, ICAOcode, NFNL]
-
A.
NFNM
NFNM is the ICAO airport code assigned to Matei Airport in Fiji.
-
B.
NFF
NFF is the commonly used abbreviation for the Nigeria Football Federation, the governing body of football in Nigeria.
-
C.
NFF
NFF is the commonly used abbreviation for the National Football Foundation, a nonprofit organization dedicated to promoting and developing amateur American football and overseeing the College Football Hall of Fame.
-
D.
NFF
NFF is the commonly used abbreviation for the Norwegian Football Federation, the governing body for football in Norway.
-
E.
NFF
NFF is the abbreviation for the Netherlands Film Festival, an annual event celebrating Dutch cinema and filmmakers.
- 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: NFNL Triple: [Labasa Airport, ICAOcode, NFNL]
Generated description
NFNL is the ICAO airport code for Labasa Airport, a regional airport serving the town of Labasa on Vanua Levu in Fiji.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NFNL Target entity description: NFNL is the ICAO airport code for Labasa Airport, a regional airport serving the town of Labasa on Vanua Levu in Fiji.
-
A.
NFNM
NFNM is the ICAO airport code assigned to Matei Airport in Fiji.
-
B.
NFF
NFF is the commonly used abbreviation for the Nigeria Football Federation, the governing body of football in Nigeria.
-
C.
NFF
NFF is the commonly used abbreviation for the National Football Foundation, a nonprofit organization dedicated to promoting and developing amateur American football and overseeing the College Football Hall of Fame.
-
D.
NFF
NFF is the commonly used abbreviation for the Norwegian Football Federation, the governing body for football in Norway.
-
E.
NFF
NFF is the abbreviation for the Netherlands Film Festival, an annual event celebrating Dutch cinema and filmmakers.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd3422c81908396a21bd53f3e47 |
completed | April 19, 2026, 1:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a037c3b95b481909fe58450f007544e |
completed | May 12, 2026, 7:15 p.m. |
| NEDg | Description generation | batch_6a037db328b08190b003da3980076ecf |
completed | May 12, 2026, 7:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a037e99ae98819087afa088fb42e847 |
completed | May 12, 2026, 7:25 p.m. |
Created at: April 10, 2026, 10:28 a.m.