Triple
T7816489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timișoara Traian Vuia International Airport |
E181018
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
LRTR
LRTR is the ICAO airport code assigned to Timișoara Traian Vuia International Airport in Romania.
|
E694889
|
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: LRTR | Statement: [Timișoara Traian Vuia International Airport, ICAOcode, LRTR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LRTR Context triple: [Timișoara Traian Vuia International Airport, ICAOcode, LRTR]
-
A.
LTRI
LTRI is a Japanese institution responsible for the professional training and research development of legal professionals, particularly judges and prosecutors.
-
B.
LR
LR is a German vehicle registration code assigned to the Ortenaukreis district in the state of Baden-Württemberg.
-
C.
LR
LR is the stock ticker symbol for Legrand, a global specialist in electrical and digital building infrastructure.
-
D.
TRK
TRK is the FAA location identifier for Truckee Tahoe Airport, a public airport serving the Truckee and Lake Tahoe region in California.
-
E.
LER
LER is the vehicle registration code assigned to the German island municipality of Borkum.
- 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: LRTR Triple: [Timișoara Traian Vuia International Airport, ICAOcode, LRTR]
Generated description
LRTR is the ICAO airport code assigned to Timișoara Traian Vuia International Airport in Romania.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LRTR Target entity description: LRTR is the ICAO airport code assigned to Timișoara Traian Vuia International Airport in Romania.
-
A.
LTRI
LTRI is a Japanese institution responsible for the professional training and research development of legal professionals, particularly judges and prosecutors.
-
B.
LR
LR is a German vehicle registration code assigned to the Ortenaukreis district in the state of Baden-Württemberg.
-
C.
LR
LR is the stock ticker symbol for Legrand, a global specialist in electrical and digital building infrastructure.
-
D.
TRK
TRK is the FAA location identifier for Truckee Tahoe Airport, a public airport serving the Truckee and Lake Tahoe region in California.
-
E.
LER
LER is the vehicle registration code assigned to the German island municipality of Borkum.
- 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_69ca828153f48190bdb27ac46f8e0745 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf96ea6d881908eff5f750e0f6700 |
completed | March 30, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb1488a2e48190924f44b46f925d87 |
completed | March 31, 2026, 12:25 a.m. |
| NEDg | Description generation | batch_69cb1732bb608190aa776f23f0dc6189 |
completed | March 31, 2026, 12:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb1a62569c81908709d814954f667e |
completed | March 31, 2026, 12:50 a.m. |
Created at: March 30, 2026, 4:39 p.m.