Triple
T19448668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lamar Municipal Airport |
E486552
|
entity |
| Predicate | FAAIdentifier |
P420
|
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: [Lamar Municipal Airport, FAAIdentifier, LAA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LAA Context triple: [Lamar Municipal Airport, FAAIdentifier, 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.
LAAB
LAAB is the accrediting organization responsible for evaluating and approving professional landscape architecture degree programs in the United States.
-
E.
LLHA
LLHA is the ICAO airport code assigned to Haifa Airport in Haifa, Israel.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6338be5a48190973d9ecae853900c |
completed | April 20, 2026, 2:09 p.m. |
Created at: April 10, 2026, 1:38 p.m.