Triple
T15819473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CiQUS |
E383566
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object |
CiQUS
CiQUS is a scientific research center focused on advanced interdisciplinary studies in chemistry and related molecular sciences.
|
E1178942
|
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: CiQUS | Statement: [CiQUS, acronym, CiQUS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CiQUS Context triple: [CiQUS, acronym, CiQUS]
-
A.
CIQ
CIQ is a technology company that provides enterprise support and services for Rocky Linux and other open-source infrastructure solutions.
-
B.
QIC
QIC is an Australian investment management company that develops and manages major retail and commercial property assets.
-
C.
The QC
The QC is a popular nickname for Charlotte, North Carolina, reflecting its identity as a major financial and cultural hub in the southeastern United States.
-
D.
QCB
QCB is the central banking authority of Qatar responsible for issuing the national currency, regulating financial institutions, and overseeing the country’s monetary policy.
-
E.
QCN
QCN is a congestion notification mechanism defined in the IEEE 802.1Qau standard to manage and control traffic congestion in Ethernet networks.
- 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: CiQUS Triple: [CiQUS, acronym, CiQUS]
Generated description
CiQUS is a scientific research center focused on advanced interdisciplinary studies in chemistry and related molecular sciences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CiQUS Target entity description: CiQUS is a scientific research center focused on advanced interdisciplinary studies in chemistry and related molecular sciences.
-
A.
CIQ
CIQ is a technology company that provides enterprise support and services for Rocky Linux and other open-source infrastructure solutions.
-
B.
QIC
QIC is an Australian investment management company that develops and manages major retail and commercial property assets.
-
C.
The QC
The QC is a popular nickname for Charlotte, North Carolina, reflecting its identity as a major financial and cultural hub in the southeastern United States.
-
D.
QCB
QCB is the central banking authority of Qatar responsible for issuing the national currency, regulating financial institutions, and overseeing the country’s monetary policy.
-
E.
QCN
QCN is a congestion notification mechanism defined in the IEEE 802.1Qau standard to manage and control traffic congestion in Ethernet networks.
- 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.