Triple
T3263790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dongzhimen station |
E68474
|
entity |
| Predicate | openingDate_AirportExpress |
P46954
|
FINISHED |
| Object | 2008 |
—
|
LITERAL 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: 2008 | Statement: [Dongzhimen station, openingDate_AirportExpress, 2008]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingDate_AirportExpress Context triple: [Dongzhimen station, openingDate_AirportExpress, 2008]
-
A.
openingDateOfTramTerminus
Indicates the date on which a tram terminus was officially opened for service.
-
B.
openingDateAtShanghaiDisneyland
Indicates the date on which something officially opened at Shanghai Disneyland.
-
C.
HeathrowBranchOpeningDate
Indicates the date on which the Heathrow branch was officially opened.
-
D.
expansionOpeningDate
Indicates the date on which an expansion of something (such as a facility, service, or project) was officially opened or became operational.
-
E.
openingDateAtDisneylandParis
Indicates the date on which something officially opened at Disneyland Paris.
- F. None of above. chosen
Provenance (4 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_69ad8590444081909e8107a8aeef3a23 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adafaa35e48190b894ca41dd65932b |
completed | March 8, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69ada41d7eac8190ada4bf5f793d5c49 |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada525bb2c8190b773efe6d696b6ab |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:09 p.m.