Triple
T10219425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Utah Flash |
E242533
|
entity |
| Predicate | homeCity |
P263
|
FINISHED |
| Object | Orem |
E134038
|
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: Orem | Statement: [Utah Flash, homeCity, Orem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orem Context triple: [Utah Flash, homeCity, Orem]
-
A.
Orem
chosen
Orem is a city in northern Utah known for its family-friendly suburbs, proximity to Provo, and the presence of Utah Valley University.
-
B.
Harlow
Harlow is a town in Essex, England, known as a post-war New Town with significant residential, commercial, and industrial development.
-
C.
Harlow
Harlow is a 1965 biographical drama film about the life and career of Hollywood actress Jean Harlow.
-
D.
Overton
Overton is a small unincorporated community in southeastern Nevada known as a gateway to the nearby Lake Mead National Recreation Area and the Valley of Fire State Park.
-
E.
Berkelland
Berkelland is a municipality in the eastern Netherlands, located in the Achterhoek region of the province of Gelderland.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa715a3c8190a9ccee7bcece0346 |
completed | April 6, 2026, 12:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6a82c98fc8190929b7b56f9a6e60d |
completed | April 8, 2026, 7:10 p.m. |
Created at: April 6, 2026, 11:08 a.m.