Triple
T16298379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renmin University station |
E395710
|
entity |
| Predicate | hasSafetyScreenDoors |
P22114
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Renmin University station, hasSafetyScreenDoors, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSafetyScreenDoors Context triple: [Renmin University station, hasSafetyScreenDoors, yes]
-
A.
hasPlatformScreenDoors
chosen
Indicates that a transit station or platform is equipped with platform screen doors separating passengers from the tracks.
-
B.
hasDoorGuard
Indicates that an entity has another entity serving as a guard for its door or entrance.
-
C.
hasEndDoors
Indicates that an object or structure is equipped with doors located at one or more of its ends.
-
D.
doorSafety
Indicates that a door meets specified safety conditions or standards, such as being secure, unobstructed, and compliant with safety regulations.
-
E.
hasGuardBars
Indicates that one entity is equipped with or protected by guard bars installed on or around it.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e25e30ee288190b78807b60cb18e22 |
completed | April 17, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69e219fa5508819097e9d383348bf174 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:06 a.m.