Triple
T31585765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Outram Park MRT station |
E805951
|
entity |
| Predicate | hasArtInTransitWork |
P193065
|
FINISHED |
| Object | Memories by Teo Eng Seng |
—
|
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: Memories by Teo Eng Seng | Statement: [Outram Park MRT station, hasArtInTransitWork, Memories by Teo Eng Seng]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtInTransitWork Context triple: [Outram Park MRT station, hasArtInTransitWork, Memories by Teo Eng Seng]
-
A.
hasArtInTransit
Indicates that an entity currently has artwork being transported from one location to another.
-
B.
hasArtworksFrom
Indicates that one entity possesses or includes artworks that originate from or are created by another entity.
-
C.
hasArtworksIntegratedWith
Indicates that one entity incorporates or embeds artworks within or as part of another entity.
-
D.
includesArtBy
Indicates that one entity contains, features, or presents artwork created by another entity.
-
E.
managesArtworksOf
Indicates that one entity is responsible for overseeing, organizing, or administering the artworks that belong to or are associated with another entity.
- 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_69f348d4891c8190b02bae3c8ecb68b7 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fd37b695c88190855801626f91c4cd |
completed | May 8, 2026, 1:09 a.m. |
| PD | Predicate disambiguation | batch_69fd374cccf08190a230e87164af5938 |
completed | May 8, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69fd37b45b4481908b947b52fbcb7ade |
completed | May 8, 2026, 1:09 a.m. |
Created at: April 30, 2026, 10:25 p.m.