Triple
T20039025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KGSP |
E497359
|
entity |
| Predicate | hasICAOCode |
P419
|
FINISHED |
| Object | KGSP |
—
|
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: KGSP | Statement: [KGSP, hasICAOCode, KGSP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KGSP Context triple: [KGSP, hasICAOCode, KGSP]
-
A.
KGSP
chosen
KGSP is the ICAO airport code for Greenville–Spartanburg International Airport, a major commercial airport serving the Upstate region of South Carolina, USA.
-
B.
KSPP
KSPP is a Linux kernel security initiative focused on hardening the kernel against vulnerabilities and exploitation through proactive self-protection features.
-
C.
GRSP
GRSP is an international alliance of governments, businesses, and civil society organizations dedicated to improving road safety and reducing traffic-related deaths and injuries worldwide.
-
D.
KGX
KGX is the National Rail station code for London King's Cross, a major central London railway terminus and transport hub.
-
E.
KPSP
KPSP is the ICAO airport code for Palm Springs International Airport, a commercial airport serving Palm Springs, California, and the surrounding Coachella Valley region.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662e9e99c81909b7d50eac893c414 |
completed | April 20, 2026, 5:31 p.m. |
Created at: April 11, 2026, 3:36 p.m.