Triple
T23156402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerezo Osaka |
E578449
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
CER
CER is the commonly used abbreviation for Cerezo Osaka, a professional Japanese football club based in Osaka that competes in the J1 League.
|
E1575704
|
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: CER | Statement: [Cerezo Osaka, abbreviation, CER]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CER Context triple: [Cerezo Osaka, abbreviation, CER]
-
A.
CER
CER is a comprehensive free trade agreement that underpins the close economic integration between Australia and New Zealand.
-
B.
CER
CER is an abbreviation that commonly refers to Certified Emission Reductions, the carbon credits generated under the Kyoto Protocol’s Clean Development Mechanism.
-
C.
2 CER
2 CER is an Australian Army combat engineer regiment that provides mobility, counter-mobility, and survivability support to land forces.
-
D.
CERI
CERI is a research-focused branch of the OECD that explores and promotes innovative approaches to education policy and practice worldwide.
-
E.
CERP
CERP is a regulatory body responsible for overseeing and guiding postal services and policies.
- 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: CER Triple: [Cerezo Osaka, abbreviation, CER]
Generated description
CER is the commonly used abbreviation for Cerezo Osaka, a professional Japanese football club based in Osaka that competes in the J1 League.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CER Target entity description: CER is the commonly used abbreviation for Cerezo Osaka, a professional Japanese football club based in Osaka that competes in the J1 League.
-
A.
CER
CER is an abbreviation that commonly refers to Certified Emission Reductions, the carbon credits generated under the Kyoto Protocol’s Clean Development Mechanism.
-
B.
CER
CER is a comprehensive free trade agreement that underpins the close economic integration between Australia and New Zealand.
-
C.
2 CER
2 CER is an Australian Army combat engineer regiment that provides mobility, counter-mobility, and survivability support to land forces.
-
D.
CERI
CERI is a research-focused branch of the OECD that explores and promotes innovative approaches to education policy and practice worldwide.
-
E.
CERP
CERP is a regulatory body responsible for overseeing and guiding postal services and policies.
- 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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18efd598c81908fba9d583e30660e |
completed | April 29, 2026, 4:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c309e4518819095eb3d8a6f6a0808 |
completed | May 19, 2026, 9:42 a.m. |
| NEDg | Description generation | batch_6a0c332f5ef08190ab7f6536eb719e04 |
completed | May 19, 2026, 9:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c374ded1c8190b1d5c7a3ab521cf9 |
completed | May 19, 2026, 10:11 a.m. |
Created at: April 17, 2026, 4:01 p.m.