Triple
T38075380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Physics, The Chinese University of Hong Kong |
E950697
|
entity |
| Predicate | hasResearchGroupIn |
P934
|
FINISHED |
| Object | condensed matter physics |
—
|
LITERAL 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: condensed matter physics | Statement: [Department of Physics, The Chinese University of Hong Kong, hasResearchGroupIn, condensed matter physics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasResearchGroupIn Context triple: [Department of Physics, The Chinese University of Hong Kong, hasResearchGroupIn, condensed matter physics]
-
A.
hasAssociatedResearchGroup
Indicates that an entity is linked to, or works in connection with, a specific research group.
-
B.
hasResearchComponent
Indicates that an entity includes, involves, or is associated with a research-related component or activity.
-
C.
hasResearchGroupWebsite
Indicates that a research group is associated with or maintains a specific website.
-
D.
notableResearcherGroup
Indicates that an entity is a prominent or distinguished member of a particular group of researchers.
-
E.
hasResearchArea
chosen
Indicates that an entity (such as a person, project, or organization) is associated with or focused on a particular field or area of research.
- F. None of above.
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_69f76f02a6c48190a94f3c0b3ee90cf2 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:21 p.m.