Triple
T13263878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lošinj Airport |
E315866
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
LSZ
LSZ is the IATA airport code for Lošinj Airport, a small regional airport serving the island of Lošinj in Croatia.
|
E1030824
|
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: LSZ | Statement: [Lošinj Airport, IATAcode, LSZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LSZ Context triple: [Lošinj Airport, IATAcode, LSZ]
-
A.
LSZB
LSZB is the ICAO airport code for Bern Airport, the primary airport serving Switzerland’s capital city.
-
B.
LSZ reduction formula
The LSZ reduction formula is a key result in quantum field theory that relates time-ordered correlation functions of fields to observable scattering amplitudes in the S-matrix.
-
C.
LZ
LZ is the IATA airline designator historically assigned to the former Bulgarian flag carrier Balkan Bulgarian Airlines.
-
D.
LZ
LZ is the vehicle registration code assigned to the municipality of Kals am Großglockner in Austria.
-
E.
LZ
LZ is the stock ticker symbol for The Lubrizol Corporation, a specialty chemicals company known for its lubricant additives and advanced materials.
- 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: LSZ Triple: [Lošinj Airport, IATAcode, LSZ]
Generated description
LSZ is the IATA airport code for Lošinj Airport, a small regional airport serving the island of Lošinj in Croatia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LSZ Target entity description: LSZ is the IATA airport code for Lošinj Airport, a small regional airport serving the island of Lošinj in Croatia.
-
A.
LSZB
LSZB is the ICAO airport code for Bern Airport, the primary airport serving Switzerland’s capital city.
-
B.
LSZ reduction formula
The LSZ reduction formula is a key result in quantum field theory that relates time-ordered correlation functions of fields to observable scattering amplitudes in the S-matrix.
-
C.
LZ
LZ is the vehicle registration code assigned to the municipality of Kals am Großglockner in Austria.
-
D.
LZ
LZ is the IATA airline designator historically assigned to the former Bulgarian flag carrier Balkan Bulgarian Airlines.
-
E.
LZ
LZ is the stock ticker symbol for The Lubrizol Corporation, a specialty chemicals company known for its lubricant additives and advanced materials.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9901c65048190bd8b3c4872f22520 |
completed | April 11, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a48bc488190a5cf692d81bdcbba |
completed | May 3, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69f70b5dbcc4819081b5ba410e319eb7 |
completed | May 3, 2026, 8:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70c4c6f908190b2ebc2a90b049e59 |
completed | May 3, 2026, 8:50 a.m. |
Created at: April 9, 2026, 9:25 p.m.