Triple
T12222924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bata Airport |
E291265
|
entity |
| Predicate | hasICAOcode |
P419
|
FINISHED |
| Object |
FGBT
FGBT is the ICAO airport code for Bata Airport, a major airport serving the city of Bata in Equatorial Guinea.
|
E968460
|
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: FGBT | Statement: [Bata Airport, hasICAOcode, FGBT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FGBT Context triple: [Bata Airport, hasICAOcode, FGBT]
-
A.
FGB
FGB, better known as Zarya, is the first module of the International Space Station, providing initial power and propulsion functions.
-
B.
LFBT
LFBT is the ICAO airport code for Tarbes–Lourdes–Pyrénées Airport in southwestern France, serving the cities of Tarbes and Lourdes near the Pyrenees.
-
C.
FBU
FBU is the ICAO airline designator assigned to French Bee, a French low-cost long-haul carrier.
-
D.
EBGT
EBGT is the ICAO airport code for Gavere-Semmerzake Airfield, a small airfield in Belgium.
-
E.
FBB
FBB is the operating company responsible for managing Berlin Brandenburg Airport and related airport facilities in the Berlin region.
- 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: FGBT Triple: [Bata Airport, hasICAOcode, FGBT]
Generated description
FGBT is the ICAO airport code for Bata Airport, a major airport serving the city of Bata in Equatorial Guinea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FGBT Target entity description: FGBT is the ICAO airport code for Bata Airport, a major airport serving the city of Bata in Equatorial Guinea.
-
A.
FGB
FGB, better known as Zarya, is the first module of the International Space Station, providing initial power and propulsion functions.
-
B.
LFBT
LFBT is the ICAO airport code for Tarbes–Lourdes–Pyrénées Airport in southwestern France, serving the cities of Tarbes and Lourdes near the Pyrenees.
-
C.
FBU
FBU is the ICAO airline designator assigned to French Bee, a French low-cost long-haul carrier.
-
D.
EBGT
EBGT is the ICAO airport code for Gavere-Semmerzake Airfield, a small airfield in Belgium.
-
E.
FBB
FBB is the operating company responsible for managing Berlin Brandenburg Airport and related airport facilities in the Berlin region.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c961d648190ad6ce5f7d228eee4 |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60aa6d3d481909852a6f2f90d7a41 |
completed | May 2, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69f60c06e4c08190985114da9317e8fd |
completed | May 2, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60c97a7e08190b782b3aa6d60d770 |
completed | May 2, 2026, 2:39 p.m. |
Created at: April 8, 2026, 9:51 p.m.