Triple
T16772337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bradford, Manchester |
E407628
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Sportcity |
E23650
|
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: Sportcity | Statement: [Bradford, Manchester, near, Sportcity]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sportcity Context triple: [Bradford, Manchester, near, Sportcity]
-
A.
Sportcity complex
chosen
Sportcity complex is a major sports and leisure district in east Manchester that includes multiple venues and facilities developed around the City of Manchester Stadium.
-
B.
KL Sports City
KL Sports City is a major integrated sports and entertainment complex in Kuala Lumpur, Malaysia, featuring multiple stadiums and facilities for national and international events.
-
C.
Entertainment City
Entertainment City is a major integrated resort and gaming complex in Metro Manila known for its large casinos, luxury hotels, and entertainment venues.
-
D.
Hub City
Hub City is the nickname of Crestview, Florida, reflecting its role as a central crossroads and regional center in the Florida Panhandle.
-
E.
Hub City
Hub City is a common nickname for Moncton, a major transportation and commercial center in New Brunswick, Canada.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b036ff788190bd9f166c3f127818 |
completed | April 18, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a5361c3881909be0fb9b83a59993 |
completed | May 10, 2026, 3:33 p.m. |
Created at: April 10, 2026, 5:21 a.m.