Triple
T7522778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terminal 2 (Lanzarote Airport) |
E177812
|
entity |
| Predicate | airportICAO |
P419
|
FINISHED |
| Object | GCRR |
E163861
|
NE FINISHED |
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: GCRR | Statement: [Terminal 2 (Lanzarote Airport), airportICAO, GCRR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GCRR Context triple: [Terminal 2 (Lanzarote Airport), airportICAO, GCRR]
-
A.
GCRR
chosen
GCRR is the ICAO airport code for Lanzarote Airport, the main international gateway to the island of Lanzarote in Spain’s Canary Islands.
-
B.
GCR
GCR is the National Rail station code for Gloucester railway station in Gloucestershire, England.
-
C.
CRGA
CRGA is the acronym for the Committee of Representatives of Governments and Administrations, a body that brings together governmental and administrative representatives for coordination and decision-making.
-
D.
GRR
GRR is the IATA airport code for Gerald R. Ford International Airport, the primary commercial airport serving Grand Rapids, Michigan.
-
E.
CGR
CGR is the IATA airport code for Campo Grande International Airport in Campo Grande, Brazil.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c69f29bf3081909a146aec7755f185 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f7c4f32081908b5162f4551adb6d |
completed | March 27, 2026, 9:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8462d743481909a3cfb6d31d94d98 |
completed | March 28, 2026, 9:20 p.m. |
Created at: March 27, 2026, 3:46 p.m.