Triple
T18278238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pittsburgh International Airport |
E437795
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object | KPIT |
—
|
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: KPIT | Statement: [Pittsburgh International Airport, ICAOCode, KPIT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KPIT Context triple: [Pittsburgh International Airport, ICAOCode, KPIT]
-
A.
KPIT
chosen
KPIT is the ICAO airport code for Pittsburgh International Airport, a major commercial airport serving the Pittsburgh metropolitan area in Pennsylvania, USA.
-
B.
Hanwha Systems
Hanwha Systems is a South Korean defense and ICT company specializing in advanced electronics, surveillance, and information systems solutions.
-
C.
JPITM
JPITM is the UN/LOCODE identifier for Osaka International Airport, a major domestic airport serving the Osaka metropolitan area in Japan.
-
D.
KT Corporation
KT Corporation is one of South Korea’s largest telecommunications companies, providing mobile, internet, and media services nationwide.
-
E.
Soon-Tek
Soon-Tek is the given name of Soon-Tek Oh, a Korean-American actor known for his roles in film, television, and voice acting.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50053cc808190b46a3ec9d96936fe |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 10:34 a.m.