Triple
T2248142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HK Express |
E49553
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object | HONGKONG SHUTTLE |
E49553
|
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: HONGKONG SHUTTLE | Statement: [HK Express, callsign, HONGKONG SHUTTLE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HONGKONG SHUTTLE Context triple: [HK Express, callsign, HONGKONG SHUTTLE]
-
A.
Capital Airport Express
Capital Airport Express is a dedicated rapid transit line in the Beijing Subway system that connects central Beijing with Beijing Capital International Airport.
-
B.
HK Express
chosen
HK Express is a Hong Kong-based low-cost airline operating regional flights across Asia.
-
C.
SkyTrain
SkyTrain is an automated, driverless rapid transit system serving the Metro Vancouver region in British Columbia, Canada.
-
D.
Guangzhou BRT
Guangzhou BRT is a high-capacity bus rapid transit system in Guangzhou, China, recognized for its innovative corridor design and heavy passenger throughput.
-
E.
BTS Skytrain
The BTS Skytrain is an elevated rapid transit system that serves as one of Bangkok’s primary urban rail networks, helping alleviate traffic congestion and connect key commercial and residential areas across the city.
- 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_69a88aa979788190ad6500f1d8eee2fc |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0ed5c38819080b45ea398fb59f2 |
completed | March 7, 2026, 6:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6b1719c481909ec3ff03d2a6f3bd |
completed | March 9, 2026, 6:39 a.m. |
Created at: March 4, 2026, 7:47 p.m.