Triple
T1018429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terminal 4 |
E21984
|
entity |
| Predicate | airportICAO |
P419
|
FINISHED |
| Object | KPHX |
E21606
|
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: KPHX | Statement: [Terminal 4, airportICAO, KPHX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KPHX Context triple: [Terminal 4, airportICAO, KPHX]
-
A.
KPHX
chosen
KPHX is the ICAO airport code for Phoenix Sky Harbor International Airport, a major commercial airport serving the Phoenix, Arizona metropolitan area.
-
B.
KCVO
KCVO is the ICAO airport code for Corvallis Municipal Airport in Corvallis, Oregon, United States.
-
C.
KRLD-TV
KRLD-TV is a Dallas–Fort Worth television station historically known for its local news coverage and role in reporting major events such as the assassination of President John F. Kennedy.
-
D.
KDFW
KDFW is the ICAO code for Dallas/Fort Worth International Airport, a major U.S. air transport hub serving the Dallas–Fort Worth metropolitan area in Texas.
-
E.
KING-TV
KING-TV is a Seattle-based NBC-affiliated television station known for its local news coverage and for originating popular educational programs such as "Bill Nye the Science Guy."
- 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_69a493c68e24819080ed0ee8bcfd5ce0 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7c6005081909d9e56114c532d14 |
completed | March 1, 2026, 10:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bb423fc8190af65e94f8e2e75d0 |
completed | March 7, 2026, 2:52 p.m. |
Created at: March 1, 2026, 7:41 p.m.