Triple
T33944133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cityplaza One |
E870243
|
entity |
| Predicate | hasLiftLobby |
P10276
|
FINISHED |
| Object | multiple lift zones |
—
|
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: multiple lift zones | Statement: [Cityplaza One, hasLiftLobby, multiple lift zones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLiftLobby Context triple: [Cityplaza One, hasLiftLobby, multiple lift zones]
-
A.
hasElevators
Indicates that one entity is equipped with or contains one or more elevators for vertical transportation.
-
B.
hasSkyLobby
chosen
Indicates that a building includes a sky lobby, a shared floor located above ground level that serves as a transfer or common area for occupants.
-
C.
hasLift
Indicates that one entity is equipped with, contains, or provides access to a lift (elevator).
-
D.
hasElevatorOffice
Indicates that an office is equipped with or accessible via an elevator.
-
E.
hasElevatorConnection
Indicates that there is a direct elevator-based connection or access route between two locations or entities.
- 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_69f3499b0dd48190b07b4b60babcee02 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe6739d4dc8190ae7505c089bbac29 |
completed | May 8, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69fe6541dffc81909c66a61ba69f38fc |
completed | May 8, 2026, 10:35 p.m. |
Created at: May 1, 2026, 1:49 a.m.