Triple
T16194883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bay Fair station |
E393035
|
entity |
| Predicate | nearby |
P350
|
FINISHED |
| Object | Bayfair Center |
E762340
|
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: Bayfair Center | Statement: [Bay Fair station, nearby, Bayfair Center]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bayfair Center Context triple: [Bay Fair station, nearby, Bayfair Center]
-
A.
Bayfair Center
chosen
Bayfair Center is a regional shopping mall located in San Leandro, California, featuring a variety of retail stores, dining options, and services.
-
B.
Cyfair Town Center
Cyfair Town Center is a retail and dining complex serving as a local commercial hub for the Cypress community in Texas.
-
C.
Fairview Town Center
Fairview Town Center is a major mixed-use shopping and entertainment destination in Fairview, Texas, featuring a variety of retail stores, restaurants, and community amenities.
-
D.
Festival Mall
Festival Mall is a large shopping and lifestyle center located in Muntinlupa City in Metro Manila, Philippines, known for its wide range of retail, dining, and entertainment options.
-
E.
Festival Place
Festival Place is a large modern shopping and leisure centre located in the town of Basingstoke in Hampshire, England.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222d851188190b2452d165e4fc4bd |
completed | April 17, 2026, 12:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00078bbc388190b3fb793556ddd75a |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:02 a.m.