Triple
T1549531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runway 09/27 |
E33055
|
entity |
| Predicate | ICAOAirportCode |
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: [Runway 09/27, ICAOAirportCode, KSAN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KSAN Context triple: [Runway 09/27, ICAOAirportCode, 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.
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.
-
D.
KS
KS is the standard two-letter postal abbreviation for the U.S. state of Kansas.
-
E.
KA
KA is the vehicle registration code used on license plates for cars registered in the German city of Karlsruhe.
- 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_69a885ee6db8819099502bc5ce8af881 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90857bfb48190a2d66a601d228b72 |
completed | March 5, 2026, 4:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad30a29ae88190ab1b2ca97b8ed09c |
completed | March 8, 2026, 8:17 a.m. |
Created at: March 4, 2026, 7:26 p.m.