Triple
T2354750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cannes |
E47528
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object | Beverly Hills |
E164932
|
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: Beverly Hills | Statement: [Cannes, twinTown, Beverly Hills]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beverly Hills Context triple: [Cannes, twinTown, Beverly Hills]
-
A.
Beverly Hills
chosen
Beverly Hills is an affluent city in Los Angeles County, California, known for its luxury lifestyle, high-end shopping on Rodeo Drive, and status as a prominent enclave for wealthy residents and celebrities.
-
B.
Beverly Hills
Beverly Hills is a residential neighborhood within Upper Darby Township, Pennsylvania, known for its suburban character and proximity to Philadelphia.
-
C.
Beverly Hills
Beverly Hills is a commuter rail station in Chicago, Illinois, serving Metra's Rock Island District line.
-
D.
West Hollywood
West Hollywood is an independent city in Los Angeles County known for its vibrant nightlife, LGBTQ+ community, and iconic Sunset Strip.
-
E.
Santa Monica
Santa Monica is a coastal city in western Los Angeles County, California, known for its iconic pier, beaches, and vibrant tourism and entertainment scene.
- 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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc6fbb1fc8190b97f4e4ed386abc3 |
completed | March 7, 2026, 6:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b108bbc090819092b76eb134aad909 |
completed | March 11, 2026, 6:16 a.m. |
Created at: March 4, 2026, 7:54 p.m.