Triple
T14882186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xuanwumen station |
E350025
|
entity |
| Predicate | hasRestroom |
P1976
|
FINISHED |
| Object | inside paid area |
—
|
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: inside paid area | Statement: [Xuanwumen station, hasRestroom, inside paid area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRestroom Context triple: [Xuanwumen station, hasRestroom, inside paid area]
-
A.
hasRestrooms
chosen
Indicates that a place or facility provides access to restroom or toilet amenities.
-
B.
hasCleaningFacility
Indicates that an entity provides or is equipped with a facility or service for cleaning.
-
C.
hasAblutionFacilities
Indicates that an entity provides or is equipped with facilities for performing ablution or ritual washing.
-
D.
hasBathhouse
Indicates that one entity possesses, contains, or is associated with a bathhouse facility.
-
E.
hasNumberOfPublicBathhouses
Indicates the quantity of public bathhouses associated with a given entity.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e7c0e48190af2d68a71130585c |
completed | April 15, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69de8c1a2bcc81908f914e2e2ced65eb |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:56 a.m.