Triple
T21758360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lakeland Linder International Airport |
E537097
|
entity |
| Predicate | IATA code |
P2569
|
FINISHED |
| Object | LAL |
—
|
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: LAL | Statement: [Lakeland Linder International Airport, IATA code, LAL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LAL Context triple: [Lakeland Linder International Airport, IATA code, LAL]
-
A.
LAL
chosen
LAL is the IATA airport code for Lakeland Linder International Airport, a public airport serving Lakeland, Florida.
-
B.
LAL
LAL is the standard NBA abbreviation for the Los Angeles Lakers basketball franchise.
-
C.
Lal
Lal is an Indian given name and surname commonly used across various regions and communities, often meaning "beloved" or "dear one" in several South Asian languages.
-
D.
Lal
Lal is a fictional android character in the Star Trek universe, created by the android Data as his experimental offspring to explore the concept of family and human development.
-
E.
Lal
Lal is the given name of L. K. Advani, a prominent Indian politician and co-founder of the Bharatiya Janata Party (BJP).
- 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_69e0c46eab808190b848242d63a17c47 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01d902c9881908051904e44a136af |
completed | April 28, 2026, 2:38 a.m. |
Created at: April 16, 2026, 6:50 p.m.