Triple
T14313867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KALB |
E354902
|
entity |
| Predicate | hasIATACode |
P2569
|
FINISHED |
| Object | ALB |
E163706
|
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: ALB | Statement: [KALB, hasIATACode, ALB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ALB Context triple: [KALB, hasIATACode, ALB]
-
A.
ALB
chosen
ALB is the IATA airport code for Albany International Airport serving New York’s capital region.
-
B.
ALB
ALB is the three-letter country code used by the International Olympic Committee to represent Albania in the Olympic Games.
-
C.
Alberg
Alberg is a surname most notably associated with Tom Alberg, an American lawyer, venture capitalist, and early Amazon investor.
-
D.
AL
AL is the common abbreviation for the American League, one of the two major professional baseball leagues that make up Major League Baseball in the United States and Canada.
-
E.
AL
AL is the official United States Postal Service abbreviation for the state of Alabama.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85b49e5481909b9ffab2d922e284 |
completed | April 14, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4687c6bc819088452892128c420e |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:12 a.m.