Triple
T1602327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AO Arena |
E34421
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Phones 4u Arena |
E34420
|
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: Phones 4u Arena | Statement: [AO Arena, formerName, Phones 4u Arena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phones 4u Arena Context triple: [AO Arena, formerName, Phones 4u Arena]
-
A.
Phones 4u Arena
chosen
Phones 4u Arena was the sponsored name, from 2013 to 2015, of the large indoor entertainment and sports venue in Manchester now commonly known as Manchester Arena.
-
B.
Phones 4u
Phones 4u was a UK-based mobile phone retailer known for its high-street stores and prominent brand marketing before going into administration in 2014.
-
C.
Boxtel
Boxtel is a town and municipality in the southern Netherlands known for its historic center and location between the cities of Eindhoven and ’s-Hertogenbosch.
-
D.
Fitel
Fitel was a financial technology startup where Jeff Bezos worked early in his career, before joining D. E. Shaw and later founding Amazon.
-
E.
Telefunken
Telefunken is a historic German electronics and television brand known for its radios, audio equipment, and consumer electronics.
- 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_69a885fea6a481909fe83ba6441f1774 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa62292d1c819080b597199dc6b8d5 |
completed | March 6, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad58c1d9ac819085e497b630a99d96 |
completed | March 8, 2026, 11:08 a.m. |
Created at: March 4, 2026, 7:28 p.m.