Triple
T28828192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narita International Airport rail access system |
E727968
|
entity |
| Predicate | hasLimitedExpressService |
P107165
|
FINISHED |
| Object | Narita Express |
—
|
NE NERFINISHED |
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: Narita Express | Statement: [Narita International Airport rail access system, hasLimitedExpressService, Narita Express]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLimitedExpressService Context triple: [Narita International Airport rail access system, hasLimitedExpressService, Narita Express]
-
A.
hasLimitedExpressBrand
chosen
Indicates that an entity possesses or is associated with a Limited Express brand designation or service.
-
B.
hasUPExpressService
Indicates that a location or entity is served by the UP Express (Union Pearson Express) transit service.
-
C.
hasExpressTracks
Indicates that a transportation route or facility includes tracks designated for express service, allowing faster travel with fewer stops than regular tracks.
-
D.
hasCenterExpressTracks
Indicates that the subject location or facility contains express railway tracks running through its central area or core.
-
E.
hasRailServiceAt
Indicates that a rail transport service operates at or serves a particular location or facility.
- F. None of above.
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_69f0319dc6088190bbfaa206d40ed74a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
Created at: April 28, 2026, 6:36 a.m.