Triple
T4507786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abraham Lincoln Capital Airport |
E101375
|
entity |
| Predicate | FAAcode |
P420
|
FINISHED |
| Object | SPI |
E447503
|
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: SPI | Statement: [Abraham Lincoln Capital Airport, FAAcode, SPI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SPI Context triple: [Abraham Lincoln Capital Airport, FAAcode, SPI]
-
A.
SPI
chosen
SPI is the IATA airport code for Abraham Lincoln Capital Airport serving Springfield, Illinois, in the United States.
-
B.
I2C
I2C is a widely used two-wire serial communication bus that enables simple, low-speed data exchange between microcontrollers and peripheral devices on the same circuit board.
-
C.
MOSI
MOSI is a major science and technology museum known for its interactive exhibits and educational programs that promote public engagement with science and industry.
-
D.
SPICE
SPICE is Amazon QuickSight’s in-memory calculation and storage engine designed to enable fast, scalable, and interactive data analysis.
-
E.
CHIP
CHIP is a U.S. government program that provides low-cost health coverage to children in families that earn too much to qualify for Medicaid but cannot afford private insurance.
- 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_69bd43d175248190894dc58b5b395c26 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd570f9b1c8190b52ace855dbf6641 |
completed | March 20, 2026, 2:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd7f760658819085ca8c631894b486 |
completed | March 20, 2026, 5:10 p.m. |
Created at: March 20, 2026, 1:01 p.m.