Triple
T5957351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aeroporto di Roma–Fiumicino |
E132549
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object | LIRF |
E124981
|
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: LIRF | Statement: [Aeroporto di Roma–Fiumicino, ICAOcode, LIRF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LIRF Context triple: [Aeroporto di Roma–Fiumicino, ICAOcode, LIRF]
-
A.
LIRF
chosen
LIRF is the ICAO airport code for Leonardo da Vinci–Fiumicino Airport, the main international airport serving Rome, Italy.
-
B.
LIRJ
LIRJ is the ICAO airport code for Marina di Campo Airport, a small regional airport serving Elba Island in Italy.
-
C.
LIF
LIF is the vehicle registration code for the town and district of Lichtenfels in the German state of Bavaria.
-
D.
LIR Portal
LIR Portal is an online platform provided by the RIPE NCC that allows Local Internet Registries to manage their IP address and ASN resources and related administrative tasks.
-
E.
LFRS
LFRS is the ICAO airport code for Nantes Atlantique Airport, a major international airport serving the city of Nantes in western France.
- 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_69c0086b05cc8190a8f36a96927a525c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c039c34ca881909a219eddf99348ab |
completed | March 22, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e3dd99888190ac3eeef692a7d879 |
completed | March 23, 2026, 6:55 a.m. |
Created at: March 22, 2026, 4:02 p.m.