Triple
T22688184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Licensed Assisted Access |
E560975
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | LAA |
—
|
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: LAA | Statement: [Licensed Assisted Access, abbreviation, LAA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LAA Context triple: [Licensed Assisted Access, abbreviation, LAA]
-
A.
LAA
chosen
LAA is the standard Major League Baseball abbreviation for the Los Angeles Angels franchise.
-
B.
LAL
LAL is the IATA airport code for Lakeland Linder International Airport, a public airport serving Lakeland, Florida.
-
C.
LAL
LAL is the standard NBA abbreviation for the Los Angeles Lakers basketball franchise.
-
D.
LLA
LLA is the IATA airport code for Luleå Airport, a major airport in northern Sweden.
-
E.
LAAB
LAAB is the accrediting organization responsible for evaluating and approving professional landscape architecture degree programs in the United States.
- 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178983fc8819080aa00e45ff77952 |
completed | April 29, 2026, 3:18 a.m. |
Created at: April 17, 2026, 3:13 p.m.