Triple
T8819704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Happy Valley |
E209869
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Happy Valley |
unclear NED1
|
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: Happy Valley | Statement: [Happy Valley, hasName, Happy Valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Happy Valley Context triple: [Happy Valley, hasName, Happy Valley]
-
A.
Happy Valley
Happy Valley is a residential and entertainment district on Hong Kong Island best known for its historic racecourse and central urban location.
-
B.
Happy Valley
Happy Valley is the popular nickname for the area surrounding Pennsylvania State University's main campus in University Park, Pennsylvania, known for its vibrant college-town atmosphere and strong school spirit.
-
C.
Happy Valley
Happy Valley is a small rural community located within the Township of King in Ontario, Canada, known for its natural surroundings and countryside character.
-
D.
Happy Valley
Happy Valley is a residential community that forms part of the town of Happy Valley-Goose Bay in Labrador, Canada.
-
E.
Happy Valley
Happy Valley is a critically acclaimed British crime drama television series centered on a strong-willed police sergeant in a small Yorkshire town.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69ca8364e13081909c85fe80f44fe86f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc600fbbac8190ad36d93fff60a33f |
completed | April 1, 2026, midnight |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6fc96a8481909d09835845ccdcbf |
completed | April 3, 2026, 7:44 a.m. |
Created at: March 30, 2026, 6:46 p.m.