Triple
T11497062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KCOM Group |
E272561
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | KCOM |
E272561
|
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: KCOM | Statement: [KCOM Group, brand, KCOM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KCOM Context triple: [KCOM Group, brand, KCOM]
-
A.
KCOM Group
chosen
KCOM Group is a UK-based telecommunications and IT services provider best known for delivering broadband, phone, and network solutions, particularly in Hull and East Yorkshire.
-
B.
KMCI
KMCI is the ICAO code for Kansas City International Airport, a major commercial airport serving the Kansas City metropolitan area in Missouri, USA.
-
C.
WCOM
WCOM was the former stock ticker symbol for MCI Inc., a major U.S. telecommunications company that played a significant role in long-distance and internet services before its collapse in the early 2000s.
-
D.
KCC
KCC is a public community college in Brooklyn, New York, known for offering associate degree programs and serving as an entry point to higher education for a diverse urban student population.
-
E.
KCSM
KCSM is the Mexican subsidiary of the Kansas City Southern railway company, operating freight rail services across key industrial and cross-border corridors in Mexico.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85de27db081909ccdb4ab0ef75bdb |
completed | April 10, 2026, 2:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e60497be2c8190a82362280e51698a |
completed | April 20, 2026, 10:48 a.m. |
Created at: April 8, 2026, 9:36 p.m.