Triple
T10168089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OER |
E235256
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | CER |
E820138
|
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: CER | Statement: [OER, relatedTo, CER]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CER Context triple: [OER, relatedTo, CER]
-
A.
CER
chosen
CER is an abbreviation that commonly refers to Certified Emission Reductions, the carbon credits generated under the Kyoto Protocol’s Clean Development Mechanism.
-
B.
CED
CED is an academic unit focused on the study and practice of environmental design, including fields such as architecture, landscape architecture, and urban planning.
-
C.
CED
CED (Capacitance Electronic Disc) is an obsolete analog video disc format developed by RCA that stored movies on grooved vinyl-like discs read by a stylus.
-
D.
CED
CED is the commonly used abbreviation for the United Nations Committee on Enforced Disappearances, the expert body overseeing implementation of the International Convention for the Protection of All Persons from Enforced Disappearance.
-
E.
CCR
CCR is a leading academic journal published by the ACM SIGCOMM community that focuses on research and developments in computer networking and communication systems.
- 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_69ca84ceafd0819085828600e11bed6b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec6f64a48190883aefce58a65ca6 |
completed | April 2, 2026, 4:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d300ebacb88190850cf2242309b6ba |
completed | April 6, 2026, 12:40 a.m. |
Created at: March 30, 2026, 9:10 p.m.