Triple
T18882014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sion Airport |
E461850
|
entity |
| Predicate | hasICAOLocationIndicator |
P84797
|
FINISHED |
| Object | LSGS |
—
|
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: LSGS | Statement: [Sion Airport, hasICAOLocationIndicator, LSGS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LSGS Context triple: [Sion Airport, hasICAOLocationIndicator, LSGS]
-
A.
LSGS
chosen
LSGS is the ICAO airport code for Sion Airport, a regional airport in the Swiss canton of Valais serving both civil and military aviation.
-
B.
LGS
LGS is a severe, childhood-onset epileptic encephalopathy characterized by multiple types of seizures, cognitive impairment, and a distinctive EEG pattern.
-
C.
LETGS
LETGS is a high-resolution X-ray grating spectrometer aboard NASA’s Chandra X-ray Observatory used to disperse and analyze X-ray emissions from cosmic sources.
-
D.
LGSA
LGSA is the ICAO airport code for Chania International Airport on the island of Crete, Greece.
-
E.
LAGC
LAGC is the abbreviation for Los Angeles Golf Club, a professional golf team and entertainment-focused sports venture based in Los Angeles.
- 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c3d2028481908af2b1560312e26c |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 10, 2026, 11:57 a.m.