Triple
T18470142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Bonifacio |
E451273
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | SM Aura Premier |
—
|
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: SM Aura Premier | Statement: [Fort Bonifacio, contains, SM Aura Premier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SM Aura Premier Context triple: [Fort Bonifacio, contains, SM Aura Premier]
-
A.
SM Aura Premier
chosen
SM Aura Premier is an upscale shopping mall and lifestyle complex in Taguig, Metro Manila, known for its high-end retail stores, dining options, and modern architectural design.
-
B.
AURA Skypool
AURA Skypool is a luxury infinity sky pool and lounge offering panoramic views of Dubai from the upper levels of The Palm Tower.
-
C.
Apollo DN10000
The Apollo DN10000 was a high-performance Unix-based workstation from Apollo Computer, known for its advanced graphics and engineering capabilities in the late 1980s.
-
D.
Norikura Skyline
Norikura Skyline is a scenic high-altitude mountain road in Japan renowned for its panoramic views of the Northern Japan Alps and seasonal alpine landscapes.
-
E.
Aurora Driver
Aurora Driver is an autonomous driving system developed by Aurora Innovation to enable self-driving capabilities for commercial vehicles.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5305e349c8190925166bc3dddb320 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 11:34 a.m.