Triple
T15997185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runway 17R/35L |
E388000
|
entity |
| Predicate | isAssociatedWithICAOAirportCode |
P36333
|
FINISHED |
| Object | SBSP |
E293533
|
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: SBSP | Statement: [Runway 17R/35L, isAssociatedWithICAOAirportCode, SBSP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SBSP Context triple: [Runway 17R/35L, isAssociatedWithICAOAirportCode, SBSP]
-
A.
SBSP
chosen
SBSP is the ICAO airport code for Congonhas–São Paulo Airport, a major domestic airport serving the city of São Paulo, Brazil.
-
B.
PBSP
PBSP is a maximum-security California state prison in Crescent City known for housing some of the state’s most dangerous inmates and operating extensive Security Housing Units.
-
C.
RBSP
RBSP (Radiation Belt Storm Probes) was a NASA mission consisting of two spacecraft designed to study Earth's Van Allen radiation belts and their response to solar activity.
-
D.
SPS
SPS is a high-energy circular particle accelerator at CERN that serves as a key injector for the Large Hadron Collider and supports a wide range of physics experiments.
-
E.
SPS
SPS is the commonly used abbreviation for Seattle Public Schools, the primary public school district serving the city of Seattle, Washington.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157882ef0819081143e530bd6413c |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3d79dec8190b02e003f93e5dad6 |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:55 a.m.