Triple
T9218106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Angeles Express |
E221291
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | LA Express |
E221291
|
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: LA Express | Statement: [Los Angeles Express, shortName, LA Express]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LA Express Context triple: [Los Angeles Express, shortName, LA Express]
-
A.
Sky Express
Sky Express is a Greek regional airline that operates domestic flights connecting numerous islands and mainland cities within Greece.
-
B.
The Ryan Express
The Ryan Express is the famous nickname of Hall of Fame Major League Baseball pitcher Nolan Ryan, renowned for his overpowering fastball and record-setting strikeout totals.
-
C.
Virgin Express
Virgin Express was a Belgian low-cost airline that operated primarily from Brussels in the 1990s and early 2000s before being merged into Brussels Airlines.
-
D.
Los Angeles Express
chosen
Los Angeles Express was a short-lived professional American football team that competed in the United States Football League (USFL) during the mid-1980s.
-
E.
Airport Express
Airport Express is a high-speed rail service in Hong Kong that links the city center with Hong Kong International Airport.
- 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_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda0ae3d081908ff3f5dab52df5ae |
completed | April 1, 2026, 8:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0662427dc81908cb9bfacc5b9e0f5 |
completed | April 4, 2026, 1:15 a.m. |
Created at: March 30, 2026, 7:27 p.m.