Triple
T18111561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Labasa Airport |
E433486
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object | LBS |
—
|
NE NERFINISHED |
How this triple was built (2 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: LBS | Statement: [Labasa Airport, IATAcode, LBS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LBS Context triple: [Labasa Airport, IATAcode, LBS]
-
A.
LBS
LBS is the Latvian Basketball Association, the national governing body responsible for organizing and overseeing basketball activities and competitions in Latvia.
-
B.
LBS
chosen
LBS is the IATA airport code for Labasa Airport, which serves the town of Labasa on the island of Vanua Levu in Fiji.
-
C.
LBSF
LBSF is the ICAO airport code for Sofia Airport, the main international airport serving Bulgaria’s capital city, Sofia.
-
D.
LocatorPlus
LocatorPlus is the National Library of Medicine’s online catalog system that provides access to its extensive collection of biomedical books, journals, and other resources.
-
E.
Single Business Discovery Service
Single Business Discovery Service was the original name of Trove, an Australian online discovery platform that aggregates and provides access to digitized newspapers, books, images, and other cultural and historical resources.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 10, 2026, 10:28 a.m.