Triple
T11967878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ziggo Dome |
E284835
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object | Ziggo |
E956318
|
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: Ziggo | Statement: [Ziggo Dome, sponsor, Ziggo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ziggo Context triple: [Ziggo Dome, sponsor, Ziggo]
-
A.
Ziggo
chosen
Ziggo is a major Dutch cable operator and telecommunications company providing television, internet, and phone services.
-
B.
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.
-
C.
Telenet Group
Telenet Group is a major Belgian telecommunications and entertainment provider offering services such as broadband internet, television, and mobile telephony.
-
D.
KPN
KPN is the abbreviation commonly used for the Korean People's Navy, the maritime branch of North Korea's armed forces.
-
E.
Foxtel
Foxtel is a major Australian pay television and streaming company offering a wide range of entertainment, sports, and news content.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9037adf5881908abe1a4e64a71f20 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f471e608e881908d45558d6251af9e |
completed | May 1, 2026, 9:27 a.m. |
Created at: April 8, 2026, 9:46 p.m.