Triple
T21098528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laredo International Airport |
E519831
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object | LRD |
—
|
NE NERFINISHED |
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: LRD | Statement: [Laredo International Airport, IATAcode, LRD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LRD Context triple: [Laredo International Airport, IATAcode, LRD]
-
A.
LRD
chosen
LRD is the official currency code for the Liberian dollar, the legal tender used in Liberia.
-
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.
LR
LR is the ISO 3166-1 alpha-2 country code for Liberia, a West African nation on the Atlantic coast.
-
E.
LR
LR is the commonly used abbreviation for Les Républicains, a major center-right political party in France.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b5b51608190aa286d89a9d54e9f |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 2:52 p.m.