Triple
T3372316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lindbergh Field |
E70982
|
entity |
| Predicate | hasICAOCode |
P419
|
FINISHED |
| Object | KSAN |
E32610
|
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: KSAN | Statement: [Lindbergh Field, hasICAOCode, KSAN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KSAN Context triple: [Lindbergh Field, hasICAOCode, KSAN]
-
A.
KSAN
chosen
KSAN is the ICAO airport code for San Diego International Airport, a major commercial airport serving the San Diego, California area.
-
B.
KNS
KNS is the Polish vehicle registration code assigned to the Nowy Sącz area in the Lesser Poland Voivodeship.
-
C.
KSNA
KSNA is the ICAO airport code for John Wayne Airport, a commercial and general aviation airport serving Orange County, California.
-
D.
KSL
KSL is the primary sign language used by the Deaf community in South Korea, with its own distinct grammar and vocabulary separate from spoken Korean.
-
E.
KNSE
KNSE is the ICAO airport code for Naval Air Station Whiting Field, a major U.S. Navy aviation training facility in Florida.
- 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_69ad85a729d48190afd789cd8417f289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2bc9bc881908b22edd631a1c110 |
completed | March 8, 2026, 5:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3343fd8a08190bf426884ec42948c |
completed | March 12, 2026, 9:46 p.m. |
Created at: March 8, 2026, 3:13 p.m.