Triple
T18109265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sparks |
E433428
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Telemiscommunications |
—
|
NE NERFINISHED |
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: Telemiscommunications | Statement: [Sparks, hasSingle, Telemiscommunications]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Telemiscommunications Context triple: [Sparks, hasSingle, Telemiscommunications]
-
A.
Telemiscommunications
chosen
"Telemiscommunications" is a song by the Canadian electronic music duo Sparks.
-
B.
Telecom
Telecom is a major New Zealand telecommunications company that has provided phone, mobile, and internet services nationwide and has been involved in prominent sports sponsorships.
-
C.
Mobile telecommunications
Mobile telecommunications is the technology and infrastructure that enable wireless voice, data, and multimedia communication over cellular networks for mobile devices.
-
D.
Information & Telecommunication Systems
Information & Telecommunication Systems is a Hitachi business division that develops and provides information technology and telecommunications solutions, including infrastructure, software, and related services.
-
E.
TELCO
TELCO is the former name and widely recognized abbreviation of Tata Motors, one of India’s largest automotive manufacturing companies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd13cb48190bff06b472e34dd0e |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:28 a.m.