Triple
T37036724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Semantan station |
E916659
|
entity |
| Predicate | hasShelteredWalkways |
P190097
|
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: [Semantan station, hasShelteredWalkways, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShelteredWalkways Context triple: [Semantan station, hasShelteredWalkways, yes]
-
A.
hasShelteredEntrances
Indicates that an entity provides one or more entrances that are covered or protected from weather or external exposure.
-
B.
hasWalkwayShape
Indicates that a walkway possesses a particular geometric or structural shape or configuration.
-
C.
hasEmergencyWalkway
Indicates that there is a designated emergency walkway available or present between the related entities.
-
D.
hasInterchangeWalkway
Indicates that two transportation facilities are connected by a pedestrian walkway that allows passengers to transfer between them.
-
E.
hasWalkwaysAndQuads
Indicates that an entity includes or is characterized by walkways and quadrangle areas as part of its layout or structure.
- 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_69f76e93ec4c8190be81cf87354d9155 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69fcab6d41a88190a3576b4b088dcabd |
completed | May 7, 2026, 3:10 p.m. |
Created at: May 3, 2026, 4:14 p.m.