Triple
T9933492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Local Internet Registry |
E192700
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | LIR |
E192698
|
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: LIR | Statement: [Local Internet Registry, alsoKnownAs, LIR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LIR Context triple: [Local Internet Registry, alsoKnownAs, LIR]
-
A.
LIRJ
LIRJ is the ICAO airport code for Marina di Campo Airport, a small regional airport serving Elba Island in Italy.
-
B.
LIRF
LIRF is the ICAO airport code for Leonardo da Vinci–Fiumicino Airport, the main international airport serving Rome, Italy.
-
C.
LI
LI is the Roman numeral representing the number 51.
-
D.
LI
LI is the two-letter ISO 3166-1 alpha-2 country code for Liechtenstein.
-
E.
LIR Portal
chosen
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.
- 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_69ca82dd978c8190947124ab0d3315ac |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5b89c808190a2e766025dd53bd5 |
completed | April 2, 2026, 12:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d228d1620c8190ac7125b268dd6832 |
completed | April 5, 2026, 9:18 a.m. |
Created at: March 30, 2026, 8:44 p.m.