Triple
T14826085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temora Airport |
E348574
|
entity |
| Predicate | hasIATACode |
P2569
|
FINISHED |
| Object | TEM |
E348573
|
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: TEM | Statement: [Temora Airport, hasIATACode, TEM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TEM Context triple: [Temora Airport, hasIATACode, TEM]
-
A.
TEM
chosen
TEM is the IATA airport code for Temora Airport, a regional airfield serving the town of Temora in New South Wales, Australia.
-
B.
Lorentz transmission electron microscopy
Lorentz transmission electron microscopy is a specialized TEM technique used to visualize magnetic domain structures and domain walls in materials at high spatial resolution.
-
C.
scanning tunneling microscope
A scanning tunneling microscope is a powerful instrument that images surfaces at the atomic scale by measuring quantum tunneling currents between a sharp conductive tip and a sample.
-
D.
AFM
AFM is the Dutch Authority for the Financial Markets, the national regulator overseeing fair and transparent operation of financial markets in the Netherlands.
-
E.
TEE
TEE is the national professional and technical organization representing engineers and overseeing engineering standards and practice in Greece.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded0713700819097bbb0352650984b |
completed | April 14, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe64fab7bc8190af55cc6ec5eafb65 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:51 a.m.