Triple
T15819523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CiMUS |
E383567
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object |
CiMUS
CiMUS is a biomedical research center focused on molecular medicine and health sciences, typically associated with a major Spanish university.
|
E1178944
|
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: CiMUS | Statement: [CiMUS, acronym, CiMUS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CiMUS Context triple: [CiMUS, acronym, CiMUS]
-
A.
iMUSE
iMUSE is an interactive music system created by LucasArts that dynamically adjusts game soundtracks in real time to match on-screen action and player choices.
-
B.
CMI
CMI is the stock ticker symbol for Cummins Inc., a major American manufacturer of engines, power systems, and related technologies.
-
C.
CMI
CMI is the three-letter IATA airport code for University of Illinois Willard Airport, serving the Champaign–Urbana area in Illinois, USA.
-
D.
CMI
CMI is a Finnish independent peace mediation organization founded by Nobel Peace Prize laureate Martti Ahtisaari that works to prevent and resolve violent conflicts worldwide.
-
E.
CIMAS
CIMAS is a research institute that partners with NOAA and universities to conduct scientific studies on marine and atmospheric environments, climate, and weather.
- 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: CiMUS Triple: [CiMUS, acronym, CiMUS]
Generated description
CiMUS is a biomedical research center focused on molecular medicine and health sciences, typically associated with a major Spanish university.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CiMUS Target entity description: CiMUS is a biomedical research center focused on molecular medicine and health sciences, typically associated with a major Spanish university.
-
A.
iMUSE
iMUSE is an interactive music system created by LucasArts that dynamically adjusts game soundtracks in real time to match on-screen action and player choices.
-
B.
CMI
CMI is the stock ticker symbol for Cummins Inc., a major American manufacturer of engines, power systems, and related technologies.
-
C.
CMI
CMI is the three-letter IATA airport code for University of Illinois Willard Airport, serving the Champaign–Urbana area in Illinois, USA.
-
D.
CMI
CMI is a Finnish independent peace mediation organization founded by Nobel Peace Prize laureate Martti Ahtisaari that works to prevent and resolve violent conflicts worldwide.
-
E.
CIMAS
CIMAS is a research institute that partners with NOAA and universities to conduct scientific studies on marine and atmospheric environments, climate, and weather.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a6e6748190acb0791bd465587f |
completed | April 16, 2026, 11:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff9997e0048190b0c00a5a0ff561c9 |
completed | May 9, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69ff9b2fe84c819086dd47c82bf3bd57 |
completed | May 9, 2026, 8:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff9b94e56c8190b5860bf3c6bf6f5f |
completed | May 9, 2026, 8:39 p.m. |
Created at: April 10, 2026, 4:49 a.m.