Triple
T14894406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virgin Media (Ireland) |
E359832
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object |
eir
eir is a major Irish telecommunications company providing broadband, mobile, and fixed-line services across Ireland.
|
E1125030
|
NE FINISHED |
How this triple was built (4 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: eir | Statement: [Virgin Media (Ireland), competitor, eir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: eir Context triple: [Virgin Media (Ireland), competitor, eir]
-
A.
Eirisgeigh
Eirisgeigh is the Scottish Gaelic name for Eriskay, a small island in the Outer Hebrides of Scotland known for its rugged landscape and traditional Gaelic culture.
-
B.
Ire
Ire is a river or stream that serves as one of the natural watercourses feeding into Lake Annecy in southeastern France.
-
C.
Ire
"Ire" is a popular Afro-pop song by Nigerian singer Adekunle Gold, known for its reflective lyrics and soulful, melodic style.
-
D.
EINE
EINE is an early Emacs-like text editor developed at MIT that helped pioneer features of modern extensible, customizable editors.
-
E.
EIT
EIT is a European Union body that fosters innovation, entrepreneurship, and education by integrating business, research, and higher education institutions across Europe.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: eir Triple: [Virgin Media (Ireland), competitor, eir]
Generated description
eir is a major Irish telecommunications company providing broadband, mobile, and fixed-line services across Ireland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: eir Target entity description: eir is a major Irish telecommunications company providing broadband, mobile, and fixed-line services across Ireland.
-
A.
Eirisgeigh
Eirisgeigh is the Scottish Gaelic name for Eriskay, a small island in the Outer Hebrides of Scotland known for its rugged landscape and traditional Gaelic culture.
-
B.
Ire
Ire is a river or stream that serves as one of the natural watercourses feeding into Lake Annecy in southeastern France.
-
C.
Ire
"Ire" is a popular Afro-pop song by Nigerian singer Adekunle Gold, known for its reflective lyrics and soulful, melodic style.
-
D.
EINE
EINE is an early Emacs-like text editor developed at MIT that helped pioneer features of modern extensible, customizable editors.
-
E.
EIT
EIT is a European Union body that fosters innovation, entrepreneurship, and education by integrating business, research, and higher education institutions across Europe.
- F. None of above. chosen
Provenance (5 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded5f9d10c819091732d7a5a42a682 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b679fb081908cf8f41acfba3b99 |
completed | May 8, 2026, 11:01 p.m. |
| NEDg | Description generation | batch_69fe6cc2ccb0819081e32dc9d2e3973a |
completed | May 8, 2026, 11:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe6d9e9a648190920206c8f75cae2e |
completed | May 8, 2026, 11:11 p.m. |
Created at: April 10, 2026, 2:10 a.m.