Triple
T399703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Technology, University of Cambridge |
E9251
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Department of Land Economy, University of Cambridge |
E50967
|
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: Department of Land Economy, University of Cambridge | Statement: [School of Technology, University of Cambridge, hasPart, Department of Land Economy, University of Cambridge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Land Economy, University of Cambridge Context triple: [School of Technology, University of Cambridge, hasPart, Department of Land Economy, University of Cambridge]
-
A.
Department of Land Economy, University of Cambridge
chosen
The Department of Land Economy at the University of Cambridge is an interdisciplinary academic department focusing on land, real estate, environmental policy, and spatial planning within an economics and law framework.
-
B.
Department of Geography, University of Cambridge
The Department of Geography at the University of Cambridge is a leading academic department renowned for its research and teaching in human and physical geography, environmental change, and spatial analysis.
-
C.
London School of Economics
The London School of Economics is a prestigious London-based university renowned worldwide for its teaching and research in economics, politics, law, and the social sciences.
-
D.
Centre for Research in the Arts, Social Sciences and Humanities, University of Cambridge
The Centre for Research in the Arts, Social Sciences and Humanities (CRASSH) at the University of Cambridge is an interdisciplinary research institute that fosters collaboration across the humanities and social sciences through projects, events, and fellowships.
-
E.
Department of Architecture, University of Cambridge
The Department of Architecture at the University of Cambridge is a leading academic center for architectural education and research, renowned for its rigorous design studio culture and contributions to architectural theory and practice.
- 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_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ec8d0ca881909d786e8eed9b6748 |
completed | Feb. 28, 2026, 1:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a413f275ac81908b6fd095a6d5a415 |
completed | March 1, 2026, 10:24 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.