Triple
T10671672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SM Mall of Asia Complex |
E251502
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | SM By the Bay |
E869907
|
NE 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: SM By the Bay | Statement: [SM Mall of Asia Complex, hasPart, SM By the Bay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SM By the Bay Context triple: [SM Mall of Asia Complex, hasPart, SM By the Bay]
-
A.
SM By the Bay
chosen
SM By the Bay is a popular seaside leisure and entertainment complex along Manila Bay known for its restaurants, rides, and sunset views.
-
B.
Bay Area Fun Festival
Bay Area Fun Festival is a community celebration in Coos Bay, Oregon, featuring family-friendly activities, entertainment, and local cultural events.
-
C.
Xcalakoop San Francisco
Xcalakoop San Francisco is a locality within the municipality of Tinum in the Mexican state of Yucatán, likely a small rural community or village.
-
D.
The Bay 101
The Bay 101 is a popular waterfront complex in Busan’s Haeundae area, known for its yacht marina, dining options, and night views of the city skyline.
-
E.
San Francisco OEM
San Francisco OEM is the city’s Office of Emergency Management, responsible for coordinating preparedness, response, and recovery efforts for disasters and major incidents in San Francisco.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6f8648a248190a3bd284c569152e4 |
completed | April 9, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9886e3f108190bb6f17d4e2f394ef |
completed | April 10, 2026, 11:31 p.m. |
Created at: April 8, 2026, 9:09 p.m.