Triple
T14914826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Communication |
E371354
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | COM |
E371354
|
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: COM | Statement: [College of Communication, hasAbbreviation, COM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: COM Context triple: [College of Communication, hasAbbreviation, COM]
-
A.
COM
COM (Component Object Model) is a Microsoft-developed software architecture that enables interprocess communication and reusable binary components across different programming languages and applications on Windows.
-
B.
COM
chosen
COM is the commonly used abbreviation for the College of Communication, an academic unit focused on media, journalism, and related communication disciplines.
-
C.
COM
COM is a post-nominal designation used in Canada to denote recipients of the Order of Merit of the Police Forces.
-
D.
Com
Com is a small coastal village in eastern Timor-Leste known for its beaches, fishing community, and growing eco-tourism.
-
E.
.com
.com is the most widely used generic top-level domain on the internet, primarily associated with commercial websites and global online businesses.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded61f1d488190995f847f84d72cdc |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72bd18148190ab28744678c22993 |
completed | May 8, 2026, 11:33 p.m. |
Created at: April 10, 2026, 2:27 a.m.