Triple
T11613424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Luzon Expressway |
E275440
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Skyway |
E261763
|
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: Skyway | Statement: [South Luzon Expressway, connectsTo, Skyway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skyway Context triple: [South Luzon Expressway, connectsTo, Skyway]
-
A.
Skyway
chosen
Skyway is an elevated expressway system in Metro Manila that provides a major road link to and from Ninoy Aquino International Airport and other key urban areas.
-
B.
Skyway
Skyway is an unincorporated residential community in King County, Washington, located between Seattle and Renton on a hill overlooking the south end of Lake Washington.
-
C.
Chicago Skyway
The Chicago Skyway is a toll bridge and elevated highway on the South Side of Chicago that links the city’s expressway system to the Indiana Toll Road.
-
D.
Red Mile
Red Mile is a historic harness racing track and entertainment venue located in Lexington, Kentucky.
-
E.
Magic Skyway
Magic Skyway was a futuristic, Ford-sponsored ride designed by Walt Disney Imagineering for the 1964 New York World's Fair that took guests on a narrated journey through time in actual Ford automobiles.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a044a3088190b92f4674c2d0b443 |
completed | April 10, 2026, 7:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e8a84161d88190a3e810d19d6ea8b8 |
completed | April 22, 2026, 10:51 a.m. |
Created at: April 8, 2026, 9:38 p.m.